I am a Computer Science PhD student at UC San Diego advise by Dr. Trey Ideker. I previously was a Staff Research Scientist at the Institute of Protein Design, University of Washington, advised by Dr. David Baker. At the Baker Lab, I worked on building machine learning models that use diffusion and flow-matching algorithms to design T-Cell Receptors.
Prior to that, I worked as a Research Fellow at Microsoft Research, PROSE. I worked on building language models to fix formulae in Microsoft Excel. I also worked on Visual Studio Copilot.
Outside of work, I love playing football, swimming, reading and writing blogs. I also am a huge Arsenal, Seahawks and RCB fan!
Present
Incoming CS PhD Student
UC San Diego
Aug 2023 - Nov 2024
Staff Research Scientist
Baker Lab, Institute of Protein Design
University of Washington, Seattle
- Generative ML models for T-Cell Receptor design (30% improvement).
- Developing product-of-experts pipelines combining ProteinMPNN and other language models for sequence design.
Jul 2022 - Jul 2023
Research Fellow
Microsoft Research
Bangalore, India
- Developed FLAME: small language model for Excel formula repair (Accepted at AAAI 2024).
- Worked on code repair pipeline in Visual Studio Copilot.
Jan 2022 - Jun 2022
Research Intern
Microsoft Research
Bangalore, India
- Built Graph Neural Networks for code-reviewer recommendations in GitHub
2018 - 2022
B.Tech in Computer Science and Engineering
PES University, Bangalore
Oct 2019 - Dec 2019
Subject Matter Expert
PESU I/O, Bangalore
- Taught Reverse Engineering in Cyber Security to 40 students