hey folks!
I'm working on a research project around RL, reward modeling, and agent evals
If you're working in this space and are up for exchanging ideas or giving honest feedback, I'd love to chat :)
there is a rhetoric in ai rn that vibing and half-assing is the future of technology. do not fall for this psyop. the future is deep understanding and mastery. always has been
been there.
Unfortunately, Indian clients are often difficult to deal with, and situations like these only make things harder
realising how common these experiences are is honestly quite disheartening
This is the TOXIC Indian freelance industry
got a legal notice today.
Rs. 10,00,000 penalty for "non-compliance"
here's the full story:
- signed a ₹X L ERP project
- delivered 100% of agreed scope
- they kept adding features saying "this was discussed day 1"
- i absorbed it, built 40% extra out of goodwill
- 6 months of over-delivering
- still got a legal notice
the Indian market has a specific breed of client
they sign a scope, ignore it the moment work starts, gaslight you into believing their new demands were "always part of the deal" and then threaten you when you can't keep up
> the signed agreement means nothing to them
> your goodwill becomes their weapon
> I should have walked away at month 2.
> lesson learned the hard way.
Always work with people who share your values and moral compass… cofounders, employees, clients, investors, mentors, bosses, partners.
Money without alignment leaves you empty.
Feeling adventurous today, so I decided to document my code. Apparently, explaining my thought process to myself is harder than I anticipated. The mystery of my own logic is rivaled only by the Bermuda Triangle.
been away for a while, but here’s what i’ve been up to lately
built the mvp of zeromesh this weekend and submitted it to @AgnoAgi hackathon 👾
zeromesh is a zero-trust security layer for agentic communication, where agents don’t trust; they verify. Every. Single. Time. 🔐
been away for a while, but here’s what i’ve been up to lately
built the mvp of zeromesh this weekend and submitted it to @AgnoAgi hackathon 👾
zeromesh is a zero-trust security layer for agentic communication, where agents don’t trust; they verify. Every. Single. Time. 🔐
i’m so excited to keep building this and share more in the coming days. we need safer, more trustworthy agent ecosystems, and zeromesh is my first step in that direction.
If you’re building in the agent x infra x privacy space, let’s connect🤝
it’s just an mvp rn , but already includes:
✅ dynamic trust scoring
✅ audit logs for every message
✅ real-time policy enforcement
✅ a live dashboard to visualize trust dynamics