Pedro Medinilla Bohórquez
Hi! I am Pedro.
Passionate about technology and complex systems from an early age, I started by graduating with Distinction (Honors) in an HND in Computing Science focused on game engine development and graphics programming in C++. Along the way, I uncovered the massive potential of data and artificial intelligence, steering my career through self-driven experimentation, hands-on production projects, and top-tier certifications.
Later, I earned a Master’s Degree in Big Data and Business Intelligence (grade 98/100), cultivating a holistic perspective that bridges software engineering rigor, product sense, and the ability to design resilient AI architectures that solve critical problems.
Today, I specialize in designing next-generation generative AI systems: from semantic layers and multi-agent architectures with memory and hallucination mitigation, to full observability (LLMOps) and scalable data pipelines. On this website, I share real-world learnings, architectural breakdowns, and practical projects to help bridge the gap between research papers and production code.
Ponencia sobre modelos Transformers & IA
Divulgación y arquitectura técnica
Professional Experience
AI Engineer
Design and implementation of advanced semantic layers and high-performance generative AI solutions.
- Built and optimized semantic layers enabling natural reasoning over complex data models.
- Engineered scalable generative AI architectures and inference pipelines.
Lead AI Engineer
Full end-to-end architecture, development, and deployment of a multi-agent system for conflict simulation and educational role-play.
- Multi-agent orchestration using LangGraph and Google Vertex AI (Gemini).
- Advanced memory management, consistency, and hallucination mitigation validated with Evals and LangSmith observability.
- Full-stack platform construction as sole engineer (Next.js, FastAPI, Supabase, AWS, and Vercel).
Senior Data Scientist
Led the architecture of automated processing engines merging classical ML with advanced LLMs and RAG.
- Advanced RAG integration with FAISS and PGVector for automated workflow processing.
- Mentored the AI team on scalable AWS deployments (Lambda, Docker, ECR, API Gateway, EMR, Spark, Airflow).
- Built the company’s MLOps and LLMOps strategy from scratch (MLflow for lifecycle management, Langfuse for LLM observability).
- Generative NLP projects using LangChain, LangGraph, Whisper (CUDA), and fine-tuned BERT models.
Mid Data Engineer
Built ETL pipelines with Apache Beam and Spark using Java, generated Amazon QuickSight dashboards, and automated serverless workflows.
AI Lecturer & Instructor
Taught Automated Machine Learning, Neural Networks, Reinforcement Learning, NLP, Bayesian Networks, and Automated Planning.
Data & Analytics Consultant
Real-time AWS data pipeline (EC2, RDS) tracking and analyzing Twitch stream metrics minute-by-minute. Over 3M impressions and marketing consultancy.
C++ UE4 Game Programmer
Gameplay mechanics programming in C++, external audio API integration, and custom user interface development.
Academic Background
Master’s in Big Data & Business Intelligence
Isabel I University
Specialized in Big Data architectures, predictive modeling, data visualization, and business intelligence strategy.
HND in Computing Science and System Development
ESAT Valencia
Focused on video game development, C++ graphics programming, advanced data structures, and custom render engines.
✦ Key Courses & Certifications
Train and Fine-Tune LLMs for Production
Machine Learning with Python: From Linear Models to Deep Learning
Cloud Security Knowledge v4 Foundation
DevNet Associate & CCNA v2
Scrum Master
Tech Stack & Ecosystem
Tools and technologies I use to build production-grade solutions
Generative AI, Agents & LLMs
Data Engineering & Big Data
Cloud, Infrastructure & MLOps
Languages & Systems
Let's talk about AI or projects
If you have a technical challenge, want to build an AI initiative, or collaborate on a project, I am primarily available for:
