About
Practical ML engineering and data systems for production.
I am a Machine Learning Engineer and Data Systems Builder focused on production-grade applied AI: geospatial risk models, Databricks lakehouses, cloud inference APIs, and analytics systems that survive real operating constraints.
My recent work includes AcciNet, a statewide crash-risk platform that scored 23.7M Texas road segments, and MeterLake, a governed lakehouse for metering and billing analytics.
Core Languages
PythonSQLC++TypeScript
ML / Modeling
PyTorchscikit-learnXGBoostLightGBMHugging Face
Data Systems
Apache SparkPySparkDelta LakeDatabricksPostGIS
Cloud / MLOps
Google CloudVertex AIAWS EC2DockerCI/CD
Backend / APIs
FastAPIFlaskREST APIsPostgreSQLFirebase
personal thesis
“In a world orchestrated by code, where silicon minds outpace human thought, our greatest creations eclipse us, not by force, but by the sheer brilliance of their artificial intellect.”
Aldrin Roshan