Juan Lucas Gordillo
Product Support Engineer
I build, deploy, and support AI-powered products. Specializing in bridging the gap between complex LLM architectures and reliable production systems.
About Me
Professional Experience
My journey through complex technical landscapes, delivering production-grade AI solutions.
Data Engineer / Backend Developer
Nfq Advisory, Solutions, Outsourcing
- Spearheaded backend development for Reference Data Repository (RDR) @ BBVA CIB, a centralized Master Data Management (MDM) system
- Built robust Java/SQL pipelines for real-time and batch XML data ingestion from external vendors (BDI)
- Optimized Oracle schemas and implemented automated validation (Java Rules) to ensure data integrity for Trading/Risk engines
- Managed full lifecycle of critical reference data (Counterparties, Legal Agreements) using an Event-Driven Architecture
Financial Systems Engineer (AI)
EY / Santander
- Provided L3 technical support for critical fraud detection systems (OFSAA) using Dynatrace and Kibana
- Optimized SQL processes and ETL workflows (Python/Control-M), achieving €400K in annual cost savings
- Developed and deployed ML algorithms for fraud detection, collaborating with engineers and stakeholders
Full Stack Engineer
EY / Santander
- Built RESTful APIs (Django/Python) and automated CI/CD pipelines (GitHub Actions) for regulatory compliance platforms
- Designed Python pipelines for Oracle SQL ingestion, processing complex Excel datasets with high data integrity
- Deployed cloud infrastructure on AWS (ECS/Fargate, RDS) and developed responsive Angular UIs for data visualization
Academic Background
Foundational knowledge in engineering and specialized research in AI and Distributed Systems.
MSc Big Data & Artificial Intelligence
Universidad de Málaga
Thesis
"Large-Scale NLP Analysis with Flask API & MongoDB (4M+ records)"
Key Areas
Erasmus+ Exchange Program
Universitatea POLITEHNICA din București
Key Areas
BSc Telecommunications Engineering (Telematics)
Universidad de Málaga
Thesis
"ML-based Network Malware Detection System"
Key Areas
Technical Arsenal
A comprehensive stack built for deploying and supporting production AI systems at scale.
AI/ML & LLM Integration
- Large Language Models (GPT-4, Claude, Gemini)
- Model Optimization & Compression
- RAG & Vector Databases (Pinecone, ChromaDB)
- Prompt Engineering & Fine-tuning
- Machine Learning (Scikit-learn, TensorFlow)
API Development & Troubleshooting
- REST API (FastAPI, Django, Flask)
- API Debugging & Performance Tuning
- Postman/Swagger Documentation
- Error Handling & Logging (Sentry)
- Rate Limiting & Authentication (OAuth2, JWT)
Production & Monitoring
- Real-Time Monitoring (Dynatrace, Datadog)
- Incident Management (L3 Support)
- Root Cause Analysis & Debugging
- CI/CD Pipelines (GitHub Actions, GitLab CI)
- Performance Optimization & Load Testing
Cloud & Infrastructure
- AWS (ECS, Lambda, RDS, S3, CloudWatch)
- Docker & Kubernetes
- MongoDB, PostgreSQL, Redis
- Terraform / Infrastructure as Code
- Serverless Architecture
Customer Success & Support
- Technical Documentation (API Guides)
- Customer Issue Resolution (L3 Support)
- Cross-functional Collaboration
- Technical Communication & Training
- SLA Management & Escalation
Core Competencies
Integration Experience
Featured Work
End-to-end AI applications focusing on production stability, scalability, and seamless user experience.
Facturized - AI Invoice Extraction
AI-powered SaaS for intelligent invoice extraction from Spanish utility PDFs
MLOps Cyber-Defense Dashboard
Real-time threat detection system processing 50M+ daily transactions
NLP Global Analytics Platform
Large-scale NLP engine with MongoDB processing 4M+ records for sentiment analysis
AI-Powered Portfolio
Modern portfolio with AI chatbot and interactive code playground
Interactive AI Demos
Experience the power of LLMs directly in your browser. Ask the chatbot or experiment with code logic.
AI Assistant
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