Open to opportunities

BHAVYA GUPTA

@bhavyagupta2

Message

I build AI and backend products that improve decisions, transactions, and student learning.

India

Message

What I'm looking for

I'm looking to build scalable AI, backend, and product systems that solve real user problems, with opportunities to own core features, learn quickly, and work on measurable outcomes.

At Kerala Infrastructure and Technology for Education (KITE), I built Python-based AI analytics tools for Samagra, supporting decision-making for 4M+ students. I also deployed a RAG system that surfaced insights from unstructured reports and cut manual analysis time by 40%.

As Product Lead for the Students’ Union app at BITS Pilani, I initiated a platform handling Rs12Cr+ in annual credits and designed its transaction architecture. I built ledger, authentication, and payments modules for sub-second transactions, while improving throughput by 25% and reducing errors to under 1%.

I also build scalable AI and distributed systems, including a 10k+ jobs-per-minute task queue and BITS AI Tutor, a RAG-based exam tutor used in beta by 1,000+ students across 80+ courses.

Experience

Work history, roles, and key accomplishments

Product Lead, SU app

Students’ Union Technical Team (SUTT)

Jul 2025 - Jan 2026 (6 months)

Initiated SU App handling Rs12Cr+ annual in credits; designed scalable and secure transaction architecture. Built core modules (ledger, auth, payments) ensuring <1s transactions latency and high system reliability, and optimized database queries and API response times, improving throughput by 25% and reducing errors to <1%.

Product Management Architecture Database Optimization API Development Security

AI/ML Intern

Kerala Infrastructure and Technology for Education (KITE)

May 2025 - Jul 2025 (2 months)

Built AI analytics tools using Python ML pipelines for decision making on the Samagra serving 4M+ students. Enhanced ML models for automated anomaly detection and data validation on large-scale school datasets, and deployed a RAG system to surface insights from unstructured reports, cutting manual analysis time by 40%.

Python Machine Learning RAG Data Validation Anomaly Detection