Production Systems & Applied Research
Production anomaly detection pipeline at University of Rochester combining rule-based heuristics with Isolation Forest to flag fraudulent or erroneous vendor invoices automatically — eliminating manual review overhead.
Comprehensive analytics platform at University of Rochester processing 800GB+ of institutional research data to support data-driven hiring decisions and impact assessments.
Automated risk analysis tool at T-Mobile that revolutionized credit risk management, boosting team productivity by 40% and reducing investigation time by 75%.
End-to-end credit risk ML platform at RedCarpetUp (YC S15) serving 500k+ users — from feature engineering on 5TB data to production deployment with Docker and Flask.
Capstone research project analyzing 107,000 developer interactions with ChatGPT to understand GenAI's impact on developer productivity and identify distinct usage patterns.
Built a Transformer-based language model from scratch using PyTorch, implementing attention mechanisms and training on the Tiny Shakespeare dataset.
Built a comprehensive CRM at RedCarpetUp serving 500k+ users with KYC image processing, audit trail database schemas, and card management for 100k MAU.
Quantifiable Outcomes from Production Systems
Peer-Reviewed Work
Developed an intelligent recommendation system for agricultural knowledge sharing, enabling farmers to access relevant information and best practices through a peer-to-peer platform with automated suggestion capabilities.
Open to ML Engineering & Data Science Roles