Open to Speaking & Collaboration

Hi, I'm Vanchhit Khare

People call me Van

9 to 5, I'm a solutions engineer. 5 to 9, I build AI systems nobody asked for but everyone ends up needing. Researcher, conference speaker, multi-agent obsessive.

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Vanchhit Khare
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Published Articles

New June 5, 2026
O'Reilly Radar

I Let an AI Agent Run 40 Experiments While I Slept
The AI Journal May 2026

When AI Fights Instead of Humans

Spoken at / Featured in

  • I have written 10 papers and reviewed 60 plus others.Translation: I am the Reviewer 2 you pray you never get.
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Papers I wrote

10

shared at conferences

Shown in the USA, Canada, Egypt, Romania, and New Zealand.

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Papers I reviewed

60+

checked for big journals

IEEE Springer Elsevier MDPI IGI Global OpenReview

5 conferences in 2025 and 2026 on AI, machine learning, vibe coding, and security. Yes, I said vibe coding out loud, into a microphone.

Past Speaking Engagements

Good ideas stay. Pizza-bot ideas go.

favoriteMentorship for nonprofits
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AI4ALL Ignite

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Guided students; several left LinkedIn recommendations.

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TechBridge.org

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Guided students through techbridge.org.

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AI Ventures

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Mentoring two teams: road-safety in Asia, an AI VR birth-prep tool in Nigeria.

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All Star Code

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Joined as a mentor and instructor for students.

The nonprofits above are funded and supported by NVIDIA, Google, UNICEF, Accenture, JPMorgan Chase, Chevron, Cisco, Shopify, ServiceNow, Nike, the Moore Foundation, and the NSF.

I judge student hackathons at UC Berkeley and Carnegie Mellon.

🎉 🚀 🏆 🔥 ⚡

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TartanHacks (Carnegie Mellon)

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Carnegie Mellon's ScottyLabs invited me to judge TartanHacks in Pittsburgh.

history Past Judging Cal Hacks (UC Berkeley) June 20-21, 2026
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Fun Facts

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  • I study AI, give talks, and mentor students.
  • For fun, I build teams of AI agents.
  • I write papers late at night.
  • 16x Salesforce Certified, still adding more.
  • MS Computer Science, Cal State Fullerton, 2019.
  • My research has been shown in 5 countries.
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Currently Working On

  • AI Second Brain. A memory my AI agents can read from and add notes back to.
  • Context Engineering. I shrink an agent's memory at 75% full so it never runs out of room.
  • Loop Engineering. I build agents that keep going on long jobs without losing track.
  • Model Collapse. I study how AI gets worse when trained on AI-made data, and how to stop it.
  • Token Reduction. I cut how much an agent reads per task so it costs less, without losing the point.