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Vignesh Kannan

Founder’s Office @ Infraspec | Scaling Products | Building & Leading Teams |
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Jam on a problem
Transforming apparent ambiguity into scalable systems that drive exponential growth.
I'm a product and operations leader who has architected solutions across Web3, SaaS and high-performance operations environments. My e...
Bengaluru, Karnataka
Vignesh Kannan

lakshya

@lakshyaag

me looking at the data alone: 30 min / trace, max value but no scalability GLM-5.3 looking at the data alone: 30 seconds / trace, zero value but max scalability now to figure out how to combine our powers to get to max value + max scalability

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Vignesh Kannan

Unknown

@twitter.com

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Vignesh Kannan

lakshya

@lakshyaag

I’m excited to be joining the judging panel for the Nebius x NVIDIA Global AI Hackathon! Can’t wait to see what everyone creates. Good luck to all the participants! Sign up here before Oct 30: https://nebiusglobalaihackathon.devpost.com/

I’m excited to be joining the judging panel for the Nebius x NVIDIA Global AI Hackathon! 

Can’t wait to see what everyone creates. Good luck to all the participants!  Sign up here before Oct 30: https://nebiusglobalaihackathon.devpost.com/
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Vignesh Kannan

Suresh Madhuvarsu

@sureshkrishna

A lot of people underestimate the scale of @sftechweek This year, San Francisco alone has 1,500+ events. More than 1,200 are AI-related, and 1 in 7 SF events is explicitly focused on agentic AI. I’ll be in San Francisco Tuesday, Wednesday and Thursday, using the week to go deeper on three areas I think will matter a lot as AI moves from experimentation into real products: 1) Model maturity and evals: How are teams actually measuring whether AI systems are reliable enough for production, and what does “good” look like beyond a demo? 2) Vertical AI: Where are domain-specific AI companies creating a real advantage, and what separates a vertical AI product from a horizontal model wrapped around an industry workflow? 3) Voice AI: Voice is getting remarkably good. I’m interested in where it is already working in real business workflows and what still needs to improve for broader adoption. The most valuable part is comparing notes with people who are building. If you’re working on any of these areas, I’d love to connect while I’m in SF. Bring what you’re building, what’s working, and what isn’t. #SFTechWeek #AI #VerticalAI #VoiceAI @SFTechWeek and @Techweek_

A lot of people underestimate the scale of @sftechweek

This year, San Francisco alone has 1,500+ events. More than 1,200 are AI-related, and 1 in 7 SF events is explicitly focused on agentic AI.

I’ll be in San Francisco Tuesday, Wednesday and Thursday, using the week to go deeper on three areas I think will matter a lot as AI moves from experimentation into real products:

1) Model maturity and evals: How are teams actually measuring whether AI systems are reliable enough for production, and what does “good” look like beyond a demo?
2) Vertical AI: Where are domain-specific AI companies creating a real advantage, and what separates a vertical AI product from a horizontal model wrapped around an industry workflow?
3) Voice AI: Voice is getting remarkably good. I’m interested in where it is already working in real business workflows and what still needs to improve for broader adoption.

The most valuable part is comparing notes with people who are building. If you’re working on any of these areas, I’d love to connect while I’m in SF. 

Bring what you’re building, what’s working, and what isn’t.

#SFTechWeek #AI #VerticalAI #VoiceAI @SFTechWeek and @Techweek_
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Vignesh Kannan

Jason Prole

@DrJasonProle

Heading to San Francisco for Tech Week. I’m building Assiduity, a generation-time execution control layer for enterprise AI. Looking to connect with investors focused on AI infrastructure.

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