I’m an ML practitioner and data enthusiast with full‑stack development experience. I design and operate LLM‑powered products—retrieval‑augmented generation, evaluation loops, and scalable MLOps—combining the ML ecosystem (PyTorch/TensorFlow, scikit‑learn, SageMaker, MLflow) with modern product engineering (TypeScript, React, Node.js, AWS). Currently at Syngenta, I lead and contribute to product development that supports key business outcomes—translating AI and platform capabilities into dependable, user‑centric solutions.
I am committed to creating technology-driven solutions that tackle intricate problems. I have honed my skills in various aspects of software development, and I take pride in contributing to the tech community by sharing my work and assisting others.
Let's build something amazing together!
- Business Insights with Databricks AI/BI Genie: A Custom Approach to Trusted Analytics
- Generative AI Applications with OLTP and OLAP: Leveraging Lakebase and Lakehouse Architecture
- Understanding Agentic AI, Model Context Protocol, and Agent-to-Agent Communication
- Lakebase—Database for Intelligence
- How to Create a Flexible Data Pipeline with Delta Live Tables
- Delta Lake Simplified: Bridging Batch and Streaming for Modern Data
- Data Fabric Decoded: Principles and Practical Exploration
- TypeScript Just Got 10x Faster: What It Means for Developers
- Optimizing Machine Learning with S3 Storage Classes
- From Monoliths to Mesh: How Data Mesh Redefines Scalable Systems