I’m a AI Engineer, with a strong mathematical and statistical foundation from my Electrical Engineering background. I bridge the gap between Machine Learning models and production-ready software.
My expertise lies in building AI-driven applications and autonomous agents using LangChain, Python, and LLMs. I have a proven track record in national and international projects, developing scalable architectures that integrate intelligent features into robust Full Stack environments.
Core AI & Engineering Focus:
AI Engineering: Implementation of RAG (Retrieval-Augmented Generation), Prompt Engineering, and AI agents using LangChain and LlamaIndex.
Machine Learning: Experience in the full ML lifecycle, from data preprocessing and statistical analysis to model deployment.
Intelligent Backend: Developing high-performance APIs with Python (Flask/FastAPI), Java (Spring Boot), and Node.js to serve AI models at scale.
Cloud & Vector Data: Architecting scalable solutions on AWS and managing Vector Databases alongside SQL/NoSQL systems.
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