Career

Awarded for designing a distributed feature fetch system that improved data processing by 8–10× and dramatically accelerated Branch’s ML training and experimentation pipeline.

Building an enterprise ML platform for the procurement industry with AI-driven search, recommendations, analytics, and document intelligence.

Driving an neural modeling effort to extract credit signals from SMS-based financial behavior.
Built fully automated training infrastructure and accelerated feature fetch process. Also, developed a credit model for a premium user segment users.

Honored to receive the Best Capstone Project award for my work on an on-premise AI learning platform.
Relevant Coursework: Machine Learning, Deep Learning, Data Structures, Algorithms, and Software Engineering.

Developed an SMS cashflow and balance classification model (0.99 AUC, 3x coverage), engineered credit bureau features (6% AUC gain), and achieved 99.5% data consistency with thorough QA/QC.

I pursued a B.Tech in Computer Science & Engineering with a specialization in Artificial Intelligence & Machine Learning.