Lakshya A Agrawal

Researcher
DISC Type : Cs

OlMo Research Intern at Ai2

San Francisco Bay Area, United States

Overview

Lakshya is a PhD student at UC Berkeleys Sky and BAIR Lab, where his research focuses on AI system optimization and its application to code generation. He previously worked as a Research Fellow at Microsoft, enhancing the code generation capabilities of LLMs. A graduate of IIIT Delhi, he has been recognized as a NeurIPS Top Reviewer.

Outside of his primary research, Lakshya has shown an interest in applied AI for social good, developing a chatbot to help volunteers with COVID-19 resource requests. His early career involved open-source development with Google Summer of Code. A Twitter bio also mentions he is a hobbyist saxophonist.

Unique fact: He is the creator of GEPA, a project for building self-evolving AI agents, which was featured in a cookbook tutorial by OpenAI and Bain & Company.

Personality Overview

Process Focused

Soft Communicator

Self-Disciplined

They do not like taking risks at all and go for proven options in the end.  The only way to convince them is by showing them examples and ample proof. Being observant comes to them naturally.

Topics They Care About

AI System Optimization
His primary PhD research focus at UC Berkeley, aiming to improve the performance and reliability of AI systems, particularly for software engineering tasks.
LLM Code Generation
A core area of his work at both Microsoft Research and UC Berkeley, focused on improving the quality and correctness of AI-generated code.
Self-Evolving Agents
Creator of the GEPA project, which enables AI agents to autonomously reflect and evolve their own instructions, as featured by OpenAI and Bain & Company.

Media Appearances

Lakshya has no verified media appearances

Work History

5-2025 - 8-2025
OlMo Research Intern at Ai2
8-2022 - 8-2024
Research Fellow at Microsoft
1-2022 - 8-2022
Microsoft Research Research Intern at Microsoft
8-2020 - 1-2022
Undergraduate Researcher at Program Analysis Group, IIIT-D
7-2021 - 12-2021
Summer@EPFL Research Intern at EPFL (École polytechnique fédérale de Lausanne)

Education

8-2024 - 5-2029
Doctor of Philosophy - PhD from University of California, Berkeley
2018 - 2022
Bachelor of Technology - BTech from Indraprastha Institute of Information Technology, Delhi

More Information

Social Presence :

Prographics :

Exp : 4 Location : San Francisco Bay Area, United States Job Level : N/A Designation : OlMo Research Intern at Ai2
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Insights For Selling To Lakshya

During A Call Or A Meeting

DO's

  • Actively address their concerns around change, risk, and acceptance by users
  • Share a one-off customer success story but keeps the focus on highlighting objective, numerical results
  • Preferably use email to follow up with them instead of phone or Linkedin, engage by asking question or opinions

DONT's

  • Avoid emotional and informal language, stay objective and to the point instead
  • Avoid phrases like ‘trust me’, ‘you will just love it’ etc.
  • Don't ask them to move fast, let them take their time and digest all the information

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Lakshya is

  • Adoption by others is very important to them, followed by confidence in ROI.
  • Will you ever get a clear answer from Lakshya

  • They are unlikely to say no, it's better to stop yourself once you have exhausted all the options.

Insights For Deal Planning

    How fast (or slow) will Lakshya move?

  • They don't like to hasten, so their speed of decision-making may be slow.
  • Can Lakshya take some risk or not?

  • They have little willingness to take risks, and prefer making calculated decisions.

You And Lakshya

Personality Compatibility


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