About
The short version
I'm a Computer Science student at Manipal University Jaipur, currently obsessed with a question: how do you build smarter financial systems without compromising the people behind the data?
My research involves building synthetic financial data generation pipelines using GANs and VAEs that satisfy differential privacy constraints. It sits at the intersection of fintech, data privacy, and machine learning — the kind of problem where getting it wrong has real consequences.
Before I was debugging neural networks, I was debugging arguments — as School Head Girl for 1200+ students, MUN Director General, and debate head. Turns out, the same structured thinking that wins a debate also helps you design a clean data pipeline.
Skills
ML / AI
Languages
CS Fundamentals
Soft Skills
Timeline
B.Tech Computer Science
CGPA 8.93 | IEEE Student Staff | Randomize MUJ Events Team
IEEE Student Staff
Research focus on AI, data systems, and fintech applications. Following publications on privacy-preserving ML.
Events & Curations – Junior Working Team
Co-organised technical workshops and hackathons for 100+ participants. Drove student engagement initiatives.
School Head Girl | MUN DG | Debate Head
Managed 1200+ student body. Trained 40+ MUN delegates. Led debate team to multiple victories.
Foundation Years
Where it all started.
Certifications
Elite Certificate — Data Structures & Algorithms Using Java
Top 5% nationally