- 🔭 Working on cutting-edge generative AI projects, from agentic applications and OCR/IDP to LLMOps, ML workflows, data science, and analytics.
- 💪🏼 Bringing a strong software and big data engineering background, including data lakehouse, data fabric, and data mesh architectures.
- 🌱 Actively building agentic AI systems using multi-agent and long-term memory architectures, MCP, A2A, RAG, fine-tuning and knowledge graphs.
- 👯 Seeking collaboration with fellow practitioners in generative AI, ML, and data science.
- 🥅 2025 goal: exercise daily and learn alongside my daughter.
- ⚡ Fun fact: I’m an engineer who’s not very funny (at least not yet)!
- 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