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

GANVAEDifferential PrivacySynthetic Data GenerationPrivacy-Preserving ML

Languages

PythonJavaJavaScriptSQL

CS Fundamentals

Data StructuresAlgorithmsSystem Design

Soft Skills

Public SpeakingDebateEvent ManagementLeadership

Timeline

2024 - 2028

B.Tech Computer Science

Manipal University Jaipur

CGPA 8.93 | IEEE Student Staff | Randomize MUJ Events Team

2024 - Present

IEEE Student Staff

IEEE

Research focus on AI, data systems, and fintech applications. Following publications on privacy-preserving ML.

2024 - 2025

Events & Curations – Junior Working Team

Randomize MUJ

Co-organised technical workshops and hackathons for 100+ participants. Drove student engagement initiatives.

2016 - 2024

School Head Girl | MUN DG | Debate Head

Delhi Public World School, Greater Noida West

Managed 1200+ student body. Trained 40+ MUN delegates. Led debate team to multiple victories.

2010 - 2016

Foundation Years

Delhi Public School, Maruti Kunj, Gurgaon

Where it all started.

Certifications

NPTEL · Nov 2025

Elite Certificate — Data Structures & Algorithms Using Java

Top 5% nationally

© 2026 Ahana Bajpai