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.

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.

Invited to judge student hackathons at UC Berkeley and Carnegie Mellon.

🎉 🚀 🏆 🔥 ⚡

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Cal Hacks (UC Berkeley)

event June 20-21, 2026

UC Berkeley invited me to judge Cal Hacks, their AI hackathon.

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TartanHacks (Carnegie Mellon)

location_on Pittsburgh

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

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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.