Previously, I spent a wonderful couple of years as a Research Fellow at Microsoft Research India in Bangalore, working with Aditya Kanade and Sriram Rajamani on LLM agents for software development (CodePlan and MASAI).
As an undergraduate student at BITS Pilani Goa, I was affiliated with APPCAIR where I worked with Prof. Ashwin Srinivasan and Dr Gautam Shroff on neuro-symbolic approaches to visual reasoning. I also worked with Florian Shkurti at the University of Toronto on learning based approaches into task and motion planning for robotics.
News
May 2026 | OmniCode is accepted to Findings of ACL 2026Aug 2025 | Wrapped up internship at MSR Montreal. Worked on BugPilot
Aug 2024 | Joining the Computer Science PhD program at Cornell
Jun 2024 | MASAI achieves SOTA (28.3%) on SWE-bench Lite
Jan 2024 | Both CodePlan and CORE are accepted at FSE 2024
Dec 2023 | Attending NeurIPS to present CodePlan as a poster at the FMDM Workshop.
Publications / Preprints
OmniCode: A Benchmark for Evaluating Software Development Agents
, Eng-Shen Tu, Wei-Chung Lu, Claas Beger, Carter Larsen, Debjit Dhar, Simon Alford, Rachel Chen, Ronit Pattanayak, Tuan Anh Dang, Guohao Chen, Gloria Geng, Kevin Ellis, Saikat Dutta
ACL Findings 2026 | Findings of the Association for Computational Linguistics
paper
BugPilot: Complex Bug Generation for Efficient Learning of SWE Skills
, Isadora White, Hyunji Lee, Matheus Pereira, Lucas Caccia, Minseon Kim, Zhengyan Shi, Chinmay Singh, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan
preprint
MASAI: Modular Architecture for Software-engineering AI Agents
, Daman Arora*, Nalin Wadhwa*, Abhav Mehrotra, Saiteja Utpala, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
OWA, NeurIPS 2024 | Workshop on Open-World Agents
paper
CodePlan: Repository-level Coding using LLMs and Planning
Ramakrishna Bairi, , Aditya Kanade, Vageesh D C, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B. Ashok, Shashank Shet
FMDM, NeurIPS 2023 | Workshop on Foundation Models for Decision Making
Accepted at FSE 2024 | ACM International Conference on the Foundations of Software Engineering
paper
Frustrated with Code Quality Issues? LLMs can Help!
Nalin Wadhwa, Jui Pradhan, , Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani
Accepted at FSE 2024 | ACM International Conference on the Foundations of Software Engineering
paper
Policy-Guided Lazy Search with Feedback for Task and Motion Planning
Mohamed Khodeir, , Ruthrash Hari, Florian Shkurti
Best Paper | Long Horizon Planning Workshop at CoRL 2022
ICRA 2023 | IEEE International Conference on Robotics and Automation
abstract
paper
website
Neural Analogical Reasoning
, Abhinav Lalwani, Sweta Mahajan, Gautam Shroff, Lovekesh Vig
NeSy 2022 | International Workshop on Neural-Symbolic Learning and Reasoning
paper
Solving Visual Analogies Using Neural Algorithmic Reasoning
, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
Oral Presentation Finalist | Student Abstract & Poster at AAAI 2022
paper