⚡ I’m an AI/ML Engineer currently obsessed with moving beyond "chat" and toward Agentic AI. My background is rooted in Big Data and Software Engineering, which I use to build robust, production-grade autonomous systems.

I’m spending my time architecting systems that don't just talk, but act.

• Architectures: Multi-agent systems, Long-term memory, and Knowledge Graphs.
• Connectivity: Implementing MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication.
• Optimization: RAG, fine-tuning, and LLMOps for agent reliability and scalability.

Before agents, I built the "brains" and "nervous systems" for data.

• Deep expertise in Data Lakehouse, Data Fabric, and Data Mesh.
• Hands-on with OCR/IDP, ADP (Agentic Document Processing) and complex ML workflows.

• Personal: Daily gym session (no rest days for the mind or body).
• Fatherhood: Exploring and learning something every day with my daughter.
• The Quest: Proving that engineers can be funny. Current status: Humor.exe is still compiling. 🌱

I’m always looking to collaborate with fellow practitioners in Generative AI, ML, and Data Science. If you're building agents or scaling data, let's talk!

• Road to Lakehouse - Part 3: Data Analytics with Generative AI
• 9 Methods to Enhance the Performance of an LLM RAG Application
• Road to Lakehouse - Part 1: Delta Lake data pipeline overview
• Road to Lakehouse - Part 2: Ingest and process data from Kafka with CDC and Delta Lake’s CDF
• ML workflow with Airflow, MLflow and SageMaker
• Streaming Data Pipelines on Cloud Platforms: AWS and GCP