I am a CS PhD student at NC State, Raleigh advised by Dr. Tim Menzies. I work on Efficient ML & AI for Software Engineering tasks. Specfically, my focus is on label scarcity, active learning, efficient agentic AI systems & reasoning distillation. During my masters’ at NC State, I worked with Dr. Jiajia Li on accelerating compressed/tensorized transformers.
I was previously a Software Engineer at Poshmark and interned at Kaleris(formerly Navis) and Renault.
During my undergrad, I worked at the AeroAcoustics lab at IIT Madras on complex-valued regression to localize and reconstruct acoustic signals. At Robert Bosch Centre for Data Science and AI I worked on predictive modeling for NPTEL & 108 Ambulance service.
Research
Focus areas: AI for SE, Fuzzing, active learning, LLM reasoning distillation, Lean Agents
Current projects:
- Automated differential fuzzing using LLM agents
- Label efficient text mining in Literature Reviews (Active learning): EZR - Easier AI
Selected Publications
Milestones/News
- 11/2025: New preprint! MOOT:a Repository of Many Multi-Objective Optimization Tasks
- 10/2025: New preprint on efficient uncertainty quantification
- 08/2025: Joined NC State as a PhD student
- 06/2024: Summer intenship working on LLM Infra - Zero shot graph generation (Graph-RAG)
- 04/2024: New preprint on uncertainty quantification for OOD detection
- 08/2023: Joined NC State as a Masters student
- 02/2023: Published JASA paper on near-field acoustic holography using ML
- 08/2022: Joined Poshmark as a Software Engineer
- 01/2022: Joined Kaleris as a Software Engineer intern
- 07/2021: Joined Renault as a Software Engineer intern
Teaching
CSC591: Applied AI to Industry (Spring 2025 at NC State) - Teaching Assistant
CSC591: Parallel Algorithms (Fall 2024 at NC State) - Teaching Assistant
Mentoring
Masters Students
Sanjana Shreenivas (Summer 2025)
Undergrad Students
Manish Chepuri (Summer 2025)
Gaurinath Subash (Summer 2025)