Available for AI/ML roles · College Park, MD

Building production-grade AI at the edge of research and scale.

Senior AI/ML Engineer with 5+ years across healthcare, automotive and fintech. I design GenAI platforms, LLM serving infrastructure and MLOps systems that move from notebook to production.

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Years in AI/ML

120 PB

Sensor data engineered

2.3M+

Patient profiles served

Selected as a GSoC 2026 contributor with The Linux Foundation.

Working on the Accord Project's APAP / MCP server - shared service layer refactor, four-tier testing and multi-client documentation. 175 hours over 12 weeks, mentored by Niall Roche and Dan Selman.

Recent highlights

Selected case studies

Production systems built end-to-end, from data pipelines to deployed APIs and dashboards.

All projects

Project 01 · Bayesian + Survival Analytics

Driver Behaviour Analytics System

Comprehensive driver risk analytics for 300K+ drivers using survival analysis and Bayesian modeling, with a real-time assessment API integrated into the Bridgestone ecosystem.

88% churn accuracy 10K+ daily req <200ms P95 40% faster claims

Apache Kafka PyMC3 FastAPI PostgreSQL AWS S3

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Project 02 · LLM Infrastructure

Production LLM Serving Optimization Framework

High-performance LLM serving with vLLM continuous batching, INT8/INT4 quantization and multi-GPU tensor parallelism. Distributed inference with token streaming and full Prometheus/Grafana observability.

12.3K req/s 42ms P50 70% memory cut 2.3× CUDA speedup

vLLM FastAPI Docker Kubernetes Prometheus

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