Saksham Jain

Critic
DISC Type : C

Chemistry Catalyst at Chemistry

Berkeley, California, United States

Overview

Saksham Jain is an AI/ML developer and tech scout studying Electrical Engineering and Computer Sciences at UC Berkeley. A three-time NASA Challenge winner, he builds innovative AI projects with Chemistry and identifies emerging tech for Lux Capital, demonstrating a passion for both creation and investment.

Beyond his core technical work, Saksham explores creative applications of AI in gaming, highlighted by a project to build structures in Minecraft. He also has a keen interest in finance, having served as Director of Finance for Berkeley Venture Capital and being a Wharton Investment Competition Semifinalist.

His teams particle physics experiment proposal for CERN’s Proton Synchrotron Beamline ranked 7th globally in the 2023 Beamline for Schools competition.

Personality Overview

ROI Driven

Information Seeker

Negotiator

They prefer to do logical analysis and value evidence over emotions.  Unless the value is proven by data, they are unlikely to value fancy features. It is very likely that they will negotiate pricing or other important terms.

Topics They Care About

AI/ML Innovation
His roles at Chemistry ("Building cool builds in AI/ML") and Lux Capital ("Finding cool builds in AI/ML") show a focus on both creating and identifying novel AI applications.
Venture Capital
Serves as a Tech Scout for Lux Capital and was Director of Finance for Berkeley Venture Capital, indicating a strong interest in early-stage technology investment.
AI in Gaming
As a Machine Learning Engineer at UC Berkeley's Launchpad, he worked on a project to get AI to build vertical slabs in the game Minecraft.

Media Appearances

Saksham has no verified media appearances

Work History

11-2025
Chemistry Catalyst at Chemistry
10-2025
Tech Scout at Lux Capital
9-2025
Machine Learning Engineer at Launchpad (UC Berkeley)
8-2025
EECS Course Staff - Academic Intern CS 61B at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
6-2025
Director of Finance at Berkeley Venture Capital

Education

2024 - 2027
Bachelor of Science - BS from University of California, Berkeley
AI Startup School from Y Combinator

More Information

Social Presence :

Prographics :

Exp : 1 Location : Berkeley, California, United States Job Level : Junior Designation : Chemistry Catalyst at Chemistry
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Insights For Selling To Saksham

During A Call Or A Meeting

DO's

  • Don’t forget to mention how you compare to competition on both features and pricing
  • Keep some extra margin while sharing pricing, they are likely to negotiate later
  • Be ready to answer many clarity-seeking questions and requests for information

DONT's

  • Don't give superficial answers, they are easily rattled by them
  • Avoid phrases like ‘trust me’, ‘others just love’ etc.
  • Don’t try to give too many examples of other users, they like to make their own decisions

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Saksham is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Saksham

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Saksham move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Saksham take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Saksham

Personality Compatibility


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