Experience

Jun 2026–present: Capital One
Senior Associate, Applied Research · San Jose, CA
Work on efficient language model training and inference, including diffusion-based speculative decoding, model distillation, and inference optimization for agentic workflows and synthetic data generation.
May–Aug 2025: Microsoft Research
Research Intern · Redmond, WA
Developed WorkflowPerturb to test whether automated metrics reliably capture errors in AI-generated workflows. Curated 44,757 perturbed workflows for controlled evaluation of metric robustness. Accepted at EMNLP 2026 Industry Track.
May–Jul 2023: Aalto University
Research Assistant · Espoo, Finland
Worked with Prof. Aki Vehtari on learning nonlinear reparameterizations during Hamiltonian Monte Carlo warm-up in BlackJAX. Improved effective sample size per gradient evaluation by up to 70% over a KL divergence-based variational reparameterization baseline on selected models. Code
May–Jul 2022: Indian Institute of Science
Research Intern · Bengaluru, India
Worked with Prof. A. G. Ramakrishnan on Hindi-to-English transliteration and phonetic transcription to improve pronunciation of Indian proper nouns, achieving 91.11% accuracy.
Feb–Apr 2022: Spyne.AI
Computer Vision Intern · Remote
Implemented a GAN-based virtual try-on method using segmentation maps and masking for garment transfer.

Education

Aug 2024–May 2026: University of Illinois Urbana-Champaign
M.S. Computer Science, Thesis Track · GPA: 4.0/4.0
Fully funded graduate study
Nov 2020–Jun 2024: IIT Gandhinagar
B.Tech. with Honours in Computer Science and Engineering
GPA: 9.16/10.0 · Gold Medal for Outstanding Performance, 2024
Dean’s List every semester

Aug 2024–May 2026: Graduate Teaching Assistant · UIUC
CS 225: Data Structures, across three semesters. Taught labs for over 40 students, held office hours, and evaluated examinations.
Jan 2023–May 2024: Undergraduate Teaching Assistant · IIT Gandhinagar
Teaching assistant for ES 301: Data Structures and Algorithms-II (Spring 2024) and ES 661: Probabilistic Machine Learning (Fall 2023).
Spring 2023: Teaching Assistant · Aalto University
Bayesian Data Analysis, taught online.
Jan 2026: Student Volunteer · POPL 2026
Supported tutorials, registration, and conference logistics.

2026: ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research
Acknowledged benchmark contributor. ScholarCatalyst evaluates whether retrieval systems can identify prior papers that help advance a research project, using researchers’ firsthand judgments about the work that inspired them.
Paper ↗ · Project & acknowledgments ↗
2022: Probabilistic Machine Learning: Advanced Topics
Acknowledged for contributions to Kevin P. Murphy’s textbook, which covers advanced topics in probabilistic machine learning, including Bayesian inference and generative modeling.
Book ↗