Machine Learning Engineer
Shipping Machine Learning: Prototype → Production
BSCS + MSAI. I build and operate end-to-end ML and data systems: live pipelines, calibrated models, drift-aware retraining, and the monitoring that keeps them honest in production.
Systems I've designed, built, and run in production.
I build ML that survives contact with production.
I'm an ML engineer with a BSCS and an in-progress MSAI. What sets my work apart isn't a notebook of experiments — it's systems that run unattended, in production, and correct themselves over time.
I'm most at home where machine learning meets real engineering: streaming data pipelines, feature engineering, model calibration and monitoring, geospatial and computer-vision workloads, and the infrastructure that ties it together. I care about systems that are honest about their own uncertainty and observable when they drift.
- Education
- BSCS · MSAI (in progress)
- Focus
- ML systems · Data · MLOps
- Building
- Production ML, end-to-end
The stack I reach for, grouped by how systems fit together.
Languages
ML / Modeling
Data & CV
Infra & Full-Stack
Let's build something that runs.
Open to ML engineering, AI, and platform/infra roles. The fastest way to reach me is below — I read everything.
Reach out directly
The contact form activates once a Web3Forms key is added. For now, email is the best path.