At OXmaint Inc, I build Python data ingestion and ETL pipelines for industrial IoT and asset records, supporting predictive maintenance and operational analytics.
I developed real-time workflows for equipment telemetry and sensor streams, processing daily events into analytical datasets that support predictive models. I also built predictive analytics pipelines from data cleansing and feature engineering through model training and inference.
I designed and optimized PostgreSQL data models and queries, reducing analytics dashboard response times by 60%. I also developed FastAPI and Flask endpoints for operational and analytical applications.
I containerized backend and data-processing services with Docker and automated CI/CD deployments through Azure DevOps Pipelines. My projects include a cryptocurrency tracking platform, a dental AI voice agent, and an autonomous DevSecOps pipeline for AI agent systems.

