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Experience & Education

I don't use LinkedIn :) For a more detailed version.

Experience

AI Scientist Intern
May 2026 – August 2026 · Palo Alto
Architecture research for the Streaming and Offline transcription models in Voxtral v3, and high-quality data curation for post-training and evaluations.
Graduate Researcher
August 2025 – May 2026 · Pittsburgh
Research on improving antidistillation sampling, in the Locus Lab.
Research Engineer Intern
January 2025 – June 2025 · Delhi
Scraped terabytes of audio data, and trained an internal speech enhancement model.
DAAD WISE Fellow
May 2024 – August 2024 · Bochum
Extended the group's work to the Mamba SSM and point clouds, and wrote a hardware-aware CUDA implementation.
Research Intern
Intermittent · Remote
Added implementations for MolGAN and normalizing flows in PyTorch, and several tutorials.
Undergraduate Research Assistant
August 2023 – December 2024 · Goa
Machine Learning for Healthcare — a graph convolution network for gait detection, and an implementation of the PXP protocol.

Education

M.S. in Machine Learning
2025 – 2026
GPA 4.08/4.0 — transcript.
Coursework Did a wide variety of courses across systems, applications and theory of Machine Learning and Deep Learning — Advanced Introduction to Machine Learning, Convex Optimization, Probabilistic Graphical Models, Diffusion Models and Flow Matching, Probability and Mathematical Statistics, LLM Systems, AI for Scientific Computing, Database Systems, and Deep RL.
B.E. in Computer Science (Honours), Minor in Data Science
2021 – 2025
GPA 9.18/10 — transcript. Graduated with distinction. Awarded a merit scholarship (40% fee waiver) for 5 semesters (top 3% of the batch).
  • TA for CS F351: Theory of Computation, Fall'24
  • Course mentor for CS F437: Generative AI, Fall'24
  • Head TA for BITS F464: Machine Learning, Spring'24
  • Head TA for CS F214: Logic in Computer Science, Fall'23
Coursework Took undergraduate courses with a breadth of systems and ML, from the CS & IS core — Deep Learning, Machine Learning, Computer Networks, Design and Analysis of Algorithms, Data Structures and Algorithms, Operating Systems, Applied Statistical Methods, AI, Foundations of Data Science, and a reading course on LLMs.

Leadership

Society for Artificial Intelligence and Deep Learning
June 2023 – May 2025
Member from June 2023, General Secretary from January 2024, and President from August 2024. Co-led the 2025 and 2024 induction assignments, started a blog-post initiative — the first post was accepted to the GRaM Workshop at ICML'24 — and co-led the 2023 and 2024 AI Symposiums.

Awards & Honours