Build for real use
I care about turning models and prototypes into reliable systems that people can actually use.
About
Engineer. Researcher. Builder.
I'm an AI and Machine Learning Engineer focused on building intelligent systems that solve real-world problems.
Background
My work sits at the intersection of machine learning, software engineering, and applied research.
I've worked on Generative AI systems, Retrieval-Augmented Generation, computer vision, industrial machine learning, simulation, and production AI services.
My background in engineering and doctoral research gave me a strong foundation in experimentation, model evaluation, signal and image analysis, and solving technically complex problems.
Today, I'm especially interested in building production Generative AI, agentic systems, and machine learning products that combine strong models with reliable software engineering.
Focus
What I work on
Generative AI & RAG
AI Agents & Tool-Using Systems
Machine Learning Engineering
Computer Vision
Production AI APIs
Cloud Deployment & MLOps
How I Think
Engineering principles
Think beyond the model
Good AI engineering includes data quality, evaluation, APIs, deployment, observability, and user experience.
Stay technically grounded
My research background influences how I approach experimentation, validation, uncertainty, and system reliability.