Julian Ortega

Staff Engineer, Search & AI Platforms

Building agentic AI products and e-commerce search modernization at Fredhopper

15 years building search and AI platforms at a leading e-commerce platform through four acquisitions, from R&D intern to Staff Engineer. I architect discovery systems for enterprise retailers like ASOS, Adidas, and Harrods, and I lead the teams that ship them.

I take ambiguous technical bets from prototype to production, integrate acquired capabilities into existing platforms, and set the engineering standards that keep things coherent through growth and change.

I go deep on technical problems and wide on organizational, cultural, and process ones. I care about building high-performing teams and healthy engineering cultures, and I believe that technical excellence and organizational value creation go hand in hand.

Netherlands or Remote: EU Citizen
Spanish Native English Professional C2
Open to talk
LinkedIn GitHub
Julian Ortega - Profile Photo
Technical Excellence
  • Built AI search adopted by 30+ enterprise retailers across 40+ languages
  • Architected discovery platforms serving 200+ international retailers
  • Designed K8s migrations, search engine rewrites, and ML integration pipelines
Leadership & Impact
  • Led teams of 3-8 engineers through 4 acquisitions without losing continuity
  • Founded the Software Architecture Group, setting standards across 5 product lines
  • 70% of direct reports promoted during tenure; hired across 3 countries
Business Acumen
  • Built AI product that surfaced upsell opportunities during customer trials
  • Unlocked enterprise-scale catalogues, enabling larger customer acquisitions
  • Wore team lead, PM, and architect hats simultaneously for 2 years on a critical project

Technical Skills

Expert Advanced Proficient
Leadership & Strategic Impact
Team Management Mentoring Cross-functional Collaboration Stakeholder Management Agile Scrum Strategic Planning Technical Vision
Organizational Value Creation
Knowledge Preservation & Transfer M&A Navigation & Integration Technical Debt Prevention Career Framework Development Retention Strategy Implementation
Cross-Industry & Communication
E-commerce Systems Search Technologies AI/ML Workflows Public Speaking Multi-cultural Leadership Research & Development Technical Writing Developer Experience
Architecture & Systems Thinking
Software Architecture System Design Systems Thinking Microservices RESTful APIs Distributed Systems Business-Technology Alignment Design Patterns Performance Optimization
AI & Machine Learning
LLMs Agentic AI Systems Recommendation Systems RAG MCP Conversational AI Vector Search Semantic Search Prompt Engineering Machine Learning Deep Learning Neural Networks
Programming & Development
Java Python Maven Gradle SQL FastAPI OpenAPI gRPC Helm TDD Spring Boot JavaScript/TypeScript Scala Node.js
Cloud & DevOps
Jenkins Docker GitHub Actions Kubernetes AWS GCP ArgoCD Argo Workflows CI/CD Terraform
Data & Search
Elasticsearch Lucene PostgreSQL Kafka Data Pipeline Design Redis DynamoDB

Professional Experience

December 2025 - Present

Staff Engineer

Rezolve Ai (Fredhopper B.V.)
Amsterdam, Netherlands
Staff Engineer in the Product Discovery team, continuing agentic AI workloads and leading infrastructure modernization initiatives across multiple engineering teams.
  • Designed Kubernetes migration architecture for a core search service of 500+ servers, building a working PoC that required zero downtime or changes to upstream systems
  • Continuing development of AI-powered product features and cross-team technical leadership
Python Java Kubernetes ArgoCD Argo Workflows Helm Docker AWS EFS LLMs Agentic Systems Microservices Search Technologies Event-Driven Architecture Container Orchestration
January 2025 - November 2025

Staff Engineer

Crownpeak (Fredhopper B.V.)
Amsterdam, Netherlands
Led three product initiatives (AI assistants, search suggestions redesign, conversational commerce) while architecting K8s migration for 500+ search servers.
  • Built AI knowledge assistants targeting ~18% of all support ticket volume, with internal trial validating ~80% documentation coverage and a 30% ticket deflection target
  • Led architectural redesign of the suggestion system, reducing index processing times by 64-93% and eliminating ~2 weeks of onboarding effort per customer
  • Evolved conversational commerce from research to production, adopting a single-agent-with-tools architecture at 20x lower LLM cost
  • Contributed to AI-powered synonym generation system achieving 93% human-level accuracy in early customer testing
Python Java FastAPI LLMs Generative AI RAG Gemini OpenAI AWS Bedrock Vertex AI Agentic Systems MCP Dify Langgraph Conversational AI Vector Search Semantic Search Lucene Search Technologies Natural Language Processing Kubernetes ArgoCD Argo Workflows Helm Docker AWS EFS Microservices OpenAPI RESTful APIs ETL Pipelines Event-Driven Architecture Distributed Systems Performance Optimization System Architecture Cloud Infrastructure Container Orchestration
Feb 2023 - December 2024

Software Architect

Crownpeak (Fredhopper B.V.)
Amsterdam, Netherlands
Founded the Software Architecture Group. Set engineering standards, developer tooling, and architectural governance across 5 product lines inherited from multiple acquisitions.
  • Founded the Software Architecture Group, establishing architectural governance and standards across the engineering organization
  • Led platform standardization across acquired product lines, migrating codebases off end-of-life infrastructure and reducing tooling fragmentation inherited from multiple acquisitions
  • Drove CI/CD optimization delivering 3x build speedup at lower infrastructure cost
  • Standardized architecture documentation on C4 across engineering and product teams
  • Drove code quality analysis adoption across 5 heterogeneous product lines inherited from multiple acquisitions, covering 2M+ lines of code
  • Piloted AI code assistant tools with an initial cohort of 15 engineers across multiple teams
  • Evaluated and implemented an Internal Developer Platform for systems cataloging, ownership tracking, and developer self-service
  • Designed a 7-level dual-track career ladder and curated a 45-book professional development index to foster engineering growth and continuous learning
Software Architecture System Design Cloud Platforms Microservices GitHub SonarCloud C4 Model
Apr 2020 - Feb 2023

Software Architect

Attraqt (Fredhopper B.V.)
Amsterdam, Netherlands
Architected the AI Search programme across text search, visual recommendations, product tagging, autocomplete, and reverse image search. Led technology transfer from an acquired AI company, delivering a hybrid search engine and an AI plugin for the existing platform.
  • Architected AI-powered semantic search adopted by enterprise retailers across fashion, sports, grocery, and DIY verticals, supporting 40+ languages
  • Led technology transfer from acquired AI company, championing knowledge transfer across onboarding, troubleshooting, and new feature development
  • Established coding standards, documentation standards, and NFR compliance processes co-owned across international teams
  • Optimized build processes and CI/CD pipelines, reducing build times by 60%, cutting infrastructure costs by 30%, and improving deployment efficiency by 40%
  • Contributed to cross-team architectural assessment identifying 12+ infrastructure optimization initiatives across compute, scaling, and containerization
Java Python Scala AI/ML Frameworks Microservices E-commerce Search Technologies Recommendation Systems
Apr 2016 - Apr 2020

Team Leader / Line Manager

Attraqt (Fredhopper B.V.)
Amsterdam, Netherlands
Led development teams of 3-5 engineers while driving two major platform initiatives: the Adaptive Personalization Engine and the Search Modernization project. Served as innovation incubator, championing cloud-native technologies and modern engineering practices across the organization.
  • Designed and led implementation of APE (Adaptive Personalization Engine) from MVP to production, building a comprehensive microservices architecture with 6 core components across 4 major releases
  • Initiated and led the search modernization project, reducing reindex times from 2+ hours to 26 minutes and improving search response from 192ms to 130ms for enterprise-scale catalogues
  • Wore team lead, PM, product owner, and engineer hats on the search project for 2 years, enabling enterprise-scale catalogues that opened new customer segments
  • Achieved 84% test coverage on the search microservice, exceeding the 70-80% target
  • Mentored junior developers and facilitated career growth, with 70% of team members receiving promotions during tenure
  • Hired engineers and contractors to scale team capabilities, including writing role specifications and conducting technical interviews
Java Maven Gradle Jenkins Team Management Agile Project Management Software Development Microservices Docker Apache Kafka Apache Storm Apache Spark Kubernetes AWS Machine Learning
Apr 2015 - Apr 2016

Senior Software Engineer

SDL (Fredhopper B.V.)
Amsterdam, Netherlands
Senior Software Engineer focused on developing e-commerce search and recommendation solutions while bridging research and practical implementation.
  • Led major upgrade of internal ETL framework spanning 4 major platform versions, enabling the Data team with modern tooling and streamlining future releases
  • Optimized product catalog ETL processes for 32M+ product catalogues, reducing reindexing time from 40 hours to 4 hours through data partitioning strategy and general performance improvements
  • Migrated from SVN to Git for multiple projects in the business, improving team workflow and enabling modern development practices across the organization
  • Created Real Time recommendations engine proof of concept integrating it into the core ecommerce product establishing foundation for production recommendation systems
  • Developed ETL processes for create user profile indices to be user in personalized merchandizing
  • Analytics ETL process re-architecting to offer a multi-tenant solution for multiple clients
Java Pentaho PDI ETL Optimization Git Migration Real-time Systems Machine Learning E-commerce Recommendation Systems
May 2012 - Apr 2015

Software Engineer

SDL (Fredhopper B.V.)
Amsterdam, Netherlands
Software Engineer working on search and recommendation technologies while contributing to research and development initiatives.
  • Developed and maintained search and recommendation algorithms processing terabytes of e-commerce data
  • Implemented collaborative filtering techniques that improved recommendation accuracy across multiple client implementations
  • Worked on large-scale data processing systems, optimizing performance for real-time recommendation delivery
  • Contributed to the development of e-commerce platform features used by major international retailers
Java Search Algorithms Data Processing Collaborative Filtering
Nov 2011 - Apr 2012

R&D Intern

Fredhopper B.V.
Amsterdam, Netherlands
Research and Development internship focusing on recommendation systems and collaborative filtering while contributing to academic research.
  • Automated and industrialized evaluation process of recommendations, creating frameworks still used in production systems
  • Generated new recommendation approaches based on collaborative filtering, contributing to patent applications
  • Researched machine learning techniques for recommendation systems, bridging academic research with commercial applications
  • Contributed to academic and business research projects, and technical documentation
Machine Learning Collaborative Filtering Research Data Analysis
Apr 2010 - Aug 2010

Software Engineer

Productora de Software Limitada S.A. - PSL S.A.
Medellín, Colombia
Software Engineer working with international customers on .NET solutions while gaining experience in enterprise software development.
  • Worked with international customers to engineer tailored .NET software solutions, managing requirements across different business domains
  • Developed applications under CMMI-5 standards, gaining expertise in enterprise software development processes
  • Maintained ASP.NET and C# applications for financial services clients, ensuring high availability and security standards
  • Delivered high-quality software solutions for enterprise clients, consistently meeting project deadlines and quality metrics
.NET C# ASP.NET CMMI Enterprise Software
Aug 2009 - Oct 2009

Trainee

Infosys Technologies Ltd
Mysore, India
Foundational Computer Science training course in .NET at Infosys Global Education Centre, gaining international software development perspective.
  • Completed comprehensive .NET training program with distinction, mastering enterprise development practices
  • Learned programming fundamentals and advanced .NET features through intensive hands-on training
  • Studied web development methodologies and best practices used in global software delivery
  • Gained international software development experience and cross-cultural collaboration skills
.NET C# SQL Server ASP.NET Web Development
Aug 2010 - Nov 2011

Research Assistant

ARTICA (Alianza Regional en TIC Aplicada)
Medellín, Colombia
Joint academic/business research project participant developing innovative technology solutions for mobile and social applications.
  • Contributed to nationwide research project for mobile and web platforms, collaborating with universities and industry partners
  • Developed social traffic system for mobile devices and news on-demand service, pioneering early mobile application development
  • Created citizen query service for government data access, improving transparency and citizen engagement
  • Implemented solutions using multiple programming languages and frameworks, demonstrating technical versatility
  • Collaborated with academic and business stakeholders on innovative projects that bridged research and practical application
MHP Java MySQL Axis2 Silverlight ASP WCF Services Windows Phone 7
Jan 2009 - Jul 2009

Software engineering intern

Bancolombia
Medellín, Colombia
Worked on banking software development and documentation processes while gaining experience in financial services technology.
  • Led team of 2 software engineers in creating documentation standards that improved knowledge sharing across 50+ person development organization
  • Developed requirements for document use cases and compliance processes, ensuring adherence to banking regulations
  • Performed monthly audits to system analysts ensuring COBIT compliance, maintaining high standards for IT governance
  • Collaborated with engineering teams on MediaWiki knowledge sharing platform, facilitating cross-team collaboration
  • Contributed to software development processes and best practices that became standard across the engineering organization
MediaWiki COBIT Software Documentation Process Management Team Leadership
Jul 2007 - Dec 2008 / Jan 2010 - Jun 2011

English Teacher

Universidad EAFIT
Medellín, Colombia
English language instructor providing students with comprehensive English language education while developing teaching and communication skills.
  • Designed and delivered interactive English curriculum for university students
  • Developed engaging lesson plans using cognitive and socio-emotional approaches, adapting to diverse learning styles
  • Facilitated effective and investigative learning processes, encouraging critical thinking and cross-cultural communication
  • Improved students' language proficiency through innovative teaching methodologies that emphasized practical application
  • Enhanced cross-cultural communication skills and international perspective through diverse student interactions
Educational Technology Curriculum Development Public Speaking Cross-cultural Communication

Key Projects

2025

Search Infrastructure Modernization for Auto-Scaling

Designed and built the architecture to migrate a fleet of 500+ search servers from EC2 to Kubernetes, enabling auto-scaling, self-healing, and simplified operations. Designed and evaluated 3 architectural options and implemented the recommended approach requiring zero changes to existing data pipelines or upstream systems.
  • Evaluated 3 architectural options with full technical investigations, recommending an event-driven approach that required zero changes to existing ETL or orchestration systems
  • Built working PoC and demonstrated it at the cross-team initiative kickoff, receiving positive reception from engineering and platform teams
  • Designed event-driven index distribution and cache persistence strategies preserving service performance across pod restarts and scaling events
  • Established staggered rollout plan with phased service migration targeting production readiness by mid-2026
  • Created all work items and led cross-team delivery, coordinating with 2-3 cloud engineers per initiative
Kubernetes Argo Workflows Argo Events Helm Python AWS S3 EFS Terraform Docker Prometheus Event-Driven Architecture Infrastructure Design
2025

AI-Powered Knowledge Assistants for Merchandising & Support

Designed and built dual-purpose AI assistant system for customer self-service and support agent enablement. Architected knowledge processing pipeline to crawl, transform, and embed documentation, best practices, and anonymized historical ticket data into a searchable vector knowledge base with LLM-powered conversational interface and tool-calling capabilities.
  • Targeted the largest addressable support category (~18% of all ticket volume), reducing resolution friction for the most common how-to questions
  • Internal trial validated ~80% documentation coverage for real customer questions, earning positive feedback from the support team
  • Designed for measurable ticket deflection with a 30% reduction target, directly reducing average resolution times of 20+ days
  • Processed and embedded ~900 knowledge base pages and anonymized customer tickets into the retrieval pipeline
  • Contributed to identifying a significant customer upsell opportunity through demonstrated product value
Generative AI LLMs RAG Vertex AI OpenAPI FastAPI MCP Python Vector Search Semantic Search Conversational AI Knowledge Management Microservices Cloud Infrastructure
2025

Search Suggestions System Redesign

Led architectural redesign of the platform's search suggestion system, replacing a legacy Finite State Automaton implementation with modern search architecture. Unified product suggestions with the core search engine, eliminating a separate indexing pipeline and enabling real-time merchandising control, spell correction, fuzzy matching, and out-of-order word matching.
  • Reduced index processing times by 64-93% across customer deployments (e.g. from ~7.5 hours to ~30 minutes for large catalogues)
  • Eliminated ~2 weeks of onboarding effort per customer by removing separate configuration for product suggestions
  • Reduced professional services tuning from days to minutes through self-service real-time configuration
  • Improved suggestion relevance by 15-18% in customer quality testing
  • Removed dedicated ETL pipeline, reducing hosting costs and operational complexity
  • Rolled out to 10+ enterprise e-commerce customers through structured beta program with side-by-side comparison tooling
  • Expanded platform capabilities positioned as a key differentiator for customer retention and growth
Java Lucene Microservices Search Technologies Distributed Systems RESTful APIs ETL Pipelines Performance Optimization System Architecture
2024-2025

Conversational Commerce Platform

Designed the technical architecture and built the core integration layer for a conversational shopping assistant. Selected and deployed a self-hosted conversational AI platform, built a multi-tenant search connector bridging natural language queries with the existing e-commerce search engine, and prepared the solution for enterprise customer trials.
  • Self-initiated from research through PoC to production deployment, providing a narrative and live demo that supported new prospect engagement and strengthened existing customer conversations
  • Evolved architecture from modular intent routing to a single-agent-with-tools pattern using templated prompts with emotional tone adaptation, later validated as the approach adopted by leading AI providers
  • Evaluated LLM providers and reached a 20x lower cost than the initial vendor, with gains in intelligence, tool use, and speed
  • Built tools and infrastructure to allow agents to do reasoning using customer's search and merchandising engines
  • Drove team implementation and delivery to production while coordinating across product, sales, and customer success stakeholders
Python Java FastAPI MCP OpenAPI Large Language Models Gemini OpenAI AWS Bedrock Vertex AI Conversational AI Dify Langgraph Kubernetes ArgoCD Docker Helm Microservices Natural Language Processing Cloud Infrastructure
2024-2025

The Well-Rounded Engineer: Knowledge Curation Initiative

Curated a professional development book index to support software engineers in growing beyond technical skills into leadership, communication, and business acumen. Published as an internal resource to foster a culture of continuous learning across the engineering organization.
  • Curated 45 books with detailed summaries and relevance analysis, spanning technical leadership, personal development, stakeholder management, and career advancement
  • Organized content across 4 development paths (management track, technical leadership, team collaboration, business context) with multiple category views
  • Published as a living internal resource with engagement tracking and a supporting Slack community channel
Knowledge Management Professional Development Content Curation Technical Writing
2024-2025

Engineering Career Ladder Framework

Designed a dual-track career framework built on the SFIA competency model, giving individual contributors and managers structured advancement paths side by side.
  • Designed 7-level dual-track career ladder (IC and management paths) with detailed competency matrices, responsibility frameworks, and promotion criteria for each level
  • Created 14 detailed role specifications from Junior Software Engineer through CTO, each with SFIA-mapped competencies
  • Created IC advancement path through Tech Lead, Staff Engineer, and Principal Engineer, giving technical talent a growth track without requiring management transition
Organizational Development Career Framework Design SFIA Knowledge Management Technical Writing Change Management
2020-2023

AI-Powered Semantic Search Platform

Pioneered AI-powered semantic search capabilities across two product lines: a standalone hybrid search engine combining vector and traditional search, and an AI Search plugin for the existing e-commerce platform using the same embedding technology for vector-based retrieval. Led technical architecture, technology transfer from an acquired AI company, and scaling to enterprise catalogues.
  • Adopted by enterprise retailers across fashion, sports, grocery, and DIY verticals, supporting 40+ languages
  • Led vector search scaling investigation across 4 backends, identifying the cost-viable architecture for enterprise-scale catalogues
  • Architected dual delivery model: standalone hybrid search engine and AI Search plugin for the existing platform using shared embedding technology
  • Handled 100x traffic spikes through autoscaling architecture validated during production incidents
  • Established engineering standards and knowledge transfer processes across the XO Search and AI teams
Neural Networks Vector Search Machine Learning Semantic Search Python Elasticsearch OpenSearch GKE gRPC Distributed Systems Deep Learning Information Retrieval
2018-2020

Search Modernization Project

Modernized the company's core search engine from a monolithic Lucene-based architecture to a cloud-native Elasticsearch microservice, serving 200+ international retailers processing billions of queries annually across catalogues with millions of items. Replaced existing search infrastructure with a distributed, independently deployable service while maintaining feature parity.
  • Reduced search reindex times from 2+ hours to 26 minutes across three release iterations, with a 10x improvement over the initial MVP
  • Achieved 99.8% of queries under 200ms for mid-size catalogues, matching or exceeding the existing system
  • Improved average search response from 192ms to 130ms on the platform's most demanding deployment
  • Enabled enterprise catalogues with millions of items, opening customer segments previously beyond platform capacity
  • Delivered 84% test coverage across unit and integration tests, exceeding the 70-80% target
  • Architected hot-swap reindex strategy enabling zero-downtime index updates via Elasticsearch alias rotation
  • Built the technical foundation and team that subsequently delivered the next-generation search platform
Java Spring Boot Elasticsearch Lucene Kubernetes Docker AWS Helm Microservices Jenkins ELK Stack Grafana Search Technologies Cloud-Native Architecture
2016-2018

Adaptive Personalization Engine

Created the initial proof of concept and led the evolution from research prototype to production platform across 4 major releases. Designed a real-time personalization system that tracked user interactions, built behavioral profiles, and delivered personalized product recommendations and search re-ranking for e-commerce retailers.
  • Created the original proof of concept and evolved it to production across 4 major releases over 2.5 years
  • Built microservices architecture with 6 core components processing real-time user activity streams at 200+ events/second
  • Maintained search response time impact under 50ms average while delivering personalized recommendations
  • Coordinated cross-functional delivery across 8+ stakeholder teams including operations, infrastructure, QA, sales, and professional services
  • Pioneered adoption of containerized microservices and cloud-native orchestration across the organization
Java Python Apache Storm Apache Kafka Kubernetes Docker AWS DynamoDB Elasticsearch Collaborative Filtering Microservices Snowplow Analytics

Academic Background

2013 - 2015

Master's in Computer Science (AI Specialization)

Vrije Universiteit Amsterdam (VU Amsterdam)
Amsterdam, Netherlands
Curriculum: Specialized in Artificial Intelligence and advanced computer science topics with focus on machine learning applications.
Thesis: Developed and evaluated a hybrid recommender system using matrix factorization with alternating least squares (ALS) to assess the impact of integrating multiple data types (user interactions, product metadata, demographics) on e-commerce recommendation accuracy. Conducted comparative analysis across four datasets using standard IR metrics (R-Precision, nDCG, MAP, AUC), demonstrating up to 6% AUC improvement over baseline collaborative filtering and providing actionable insights for Fredhopper's predictive targeting services.
2005 - 2010

B.S. in Systems Engineering

Universidad EAFIT
Medellín, Colombia
Curriculum: Comprehensive curriculum including software engineering, accounting, business, geopolitics, and economics - providing multidisciplinary foundation for technology leadership.
Assistant: Administrative assistant in design department (2006-2007). Designed university-wide promotional materials and UI elements distributed to the entire student population. Contributed to the transition to a new Content Management System (CMS), conducted comprehensive website reviews, and ensured all digital content adhered to university design standards and brand guidelines.
Thesis: Implemented and optimized parallel AES encryption algorithms on multi-core CPUs and GPUs, achieving 1.6-1.7x speedup using OpenMP on multi-core processors and 5.9-13.5x speedup using CUDA on GPU platforms. The research demonstrated that GPU implementations reduced total execution times to 10-25% of sequential performance, with encryption-specific operations achieving up to 19x acceleration, contributing to high-performance cryptographic computing for real-world file encryption applications.

Certifications

Effective Programming in Scala
École Polytechnique Fédérale de Lausanne, Feb 2024
AI For Everyone
Coursera, Mar 2019
Concurrent Programming in Java
Coursera, Oct 2017
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera, Sep 2017
Neural Networks and Deep Learning
Coursera, Sep 2017
Parallel Programming in Java
Coursera, Aug 2017
The Data Scientist's Toolbox
Coursera, Mar 2015
Introduction to Data Science
Coursera, Jun 2013
Machine Learning
Coursera, Oct 2012

Publications

Parallelizing AES on Multicores and GPUs

Julian Ortega, Christian Trefftz, Helmuth Trefftz
The AES block cipher cryptographic algorithm is widely used and it is resource intensive. An existing sequential open source implementation of the algorithm was parallelized on multi-core microprocessors and GPUs. Performance results are presented.
View Publication

Volunteering

Nov 2022 - May 2023

Amateur Theater Actor

The Cauldron Performing Arts Foundation
Amsterdam, Netherlands
Arts and Culture
Performed in community theater productions in Amsterdam.
  • Prepared for multiple roles across a full production season
  • Performed for live audiences in English as a second language

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