Applied AI • ML Platforms • Production Data Science
Turning large, messy data into reliable AI systems

I'm a data scientist / ML practitioner focused on end‑to‑end AI systems, not just models in notebooks.

• 🧩 I build production‑grade AI pipelines on Databricks and Azure
• 🤖 Hands‑on with LLMs, GenAI, and classical ML — from experimentation to deployment
• 🏗 Strong bias toward maintainability, observability, and scale
• 🗣 I enjoy translating complex models into decisions people actually trust

If it involves data + ML + real users, I’m interested.

• 🧠 LLM‑powered systems
  • Prompt orchestration, evaluation, and safety
  • Embeddings, RAG, hybrid retrieval
• 🏗 Databricks ML platforms
  • Feature engineering, model training, and batch/streaming inference
• ⚙️ Production ML
  • FastAPI services, model lifecycle management, performance monitoring
• ☁️ Azure‑native AI
  • Azure AI Foundry, Azure ML, OpenAI integrations

If you’re building AI products, ML platforms, or data‑heavy systems, feel free to reach out.

“Models are easy. Reliable AI systems are not.”