VOOZH about

URL: https://akhileshgotmare.github.io/

⇱ Akhilesh Gotmare


I'm a Member of Technical Staff at Liquid AI in San Francisco, where I work with Maxime Labonne's post-training team. Previously, I was a Sr Researcher with Salesforce's AI Research org where I worked with Richard Socher, Caiming Xiong, and Steven Hoi.

My research spans code generation with RL (CodeRL, NeurIPS '22), perf-aware code optimization (PerfCodeGen, ACM SIGSOFT '25), open code LLMs (CodeT5+, EMNLP '23), and controllable text generation (GeDi, EMNLP '21). On the applied front, I led research on ApexGuru - Salesforce's code review agent now used by ~10k enterprise orgs and featured at Dreamforce (dev keynote) for three consecutive years ('23, '24, '25).

I was trained at EPFL (Master's in CS) where I worked with Martin Jaggi, and prior to that I completed my undergrad in EE at IIT.

Email  |  Google Scholar  |  LinkedIn  |  GitHub

👁 Image

Yun Peng, Akhilesh Gotmare, Michael Lyu, Caiming Xiong, Silvio Savarese, Doyen Sahoo
FORGE 2025 (ACM SIGSOFT Distinguished Paper Award)
[ arXiv, FORGE '25, Code ]

Yue Wang, Hung Le, Akhilesh Gotmare, Nghi Bui, Junnan Li, Steven Hoi
EMNLP 2023
[ arXiv, Blog, Code ]

Hung Le, Yue Wang, Akhilesh Gotmare, Silvio Savarese, Steven Hoi
NeurIPS 2022
[ arXiv, Blog, Code, Media ]

Akhilesh Gotmare, Junnan Li, Shafiq Joty, Steven Hoi
Foundations of Software Engineering 2023
[ FSE 2023 ]

Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, Steven Hoi
NeurIPS 2021 (Spotlight)
[ arXiv, Blog, Code ]

Ben Krause*, Akhilesh Gotmare*, Bryan McCann, Nitish Shirish Keskar, Shafiq Joty, Richard Socher, Nazneen Fatema Rajani
EMNLP 2021 (Findings)
[ arXiv, Blog, VB coverage, Import AI, Code, Demo ]

Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong and Richard Socher
ICLR 2019 (partial results presented at CRACT Workshop, NeurIPS 2018)
[ arXiv, OpenReview, Poster ]

Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong and Richard Socher
Workshop on Modern Trends in Nonconvex Optimization for Machine Learning, ICML 2018.
[ arXiv, Poster ]

Akhilesh Gotmare*, Valentin Thomas*, Johanni Brea and Martin Jaggi
Workshop on Efficient Credit Assignment in Deep Learning and Deep Reinforement Learning, ICML 2018.
[ OpenReview, Poster ]

Mikhail Langovoy, Akhilesh Gotmare, Martin Jaggi, Suvrit Sra
Mathematical Foundations of Computing 2 (2), 127-147
[ arXiv, AIMS MFC journal ]

Akhilesh Gotmare, Sankha Subhra Bhattacharjee, Rohan Patidar, Nithin V. George
Swarm and Evolutionary Computation, 32, 68-84.
[ Elsevier SWEC journal ]

Akhilesh Gotmare, Rohan Patidar, Nithin V. George
Expert systems with applications, 42(5), 2538-2546.
[ Elsevier ESWA journal ]

Prathyusha Jwalapuram, Akhilesh Gotmare, Doyen Sahoo, Silvio Savarese, Junnan Li
MCP+ project page, 2026
[ Blog, Code ]

Srikanta Prasad, Utkarsh Arora, Raghav Tanaji, Nitin Surya, Gokulakrishnan Gopalakrishnan,
Akhilesh Gotmare, Hrushikesh Gangur
AWS Machine Learning Blog, Oct '25
[ Blog ]
by Mayuresh Verma, Akhilesh Gotmare
Salesforce Developers Blog, June '25
[ Blog ]