AI Advisor · Founder, 256 Technologies
I help leadership teams cut through AI hype and make evidence-based decisions: what is feasible, what the ROI really is, and the smallest pilot that proves it. 25+ years building production systems, including work at Citi, Virtusa, Yash, and ValueLabs. Today I run 256 Technologies, an applied AI lab in Hyderabad, and I have been writing here since 2009.
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TechnologyA small open-source video platform shipped a major release this week, and the online reaction split into 'nice tech, doomed to fail' versus something more interesting. The argument reveals how badly we've let one company define what a successful video platform even looks like.
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A Blueprint for Innovation
A practical, hype-free playbook for the managers and operators who have to turn AI agents into real business outcomes. Read it free, no signup.
Acting as your fractional Head of AI: strategy, feasibility, ROI modeling, vendor assessment, and roadmaps grounded in real engineering constraints. No hype, no vendor lock-in.
A six-week program that builds an AI-native leadership team: hands-on executive workflows, governance and risk, and a 90-day adoption roadmap that moves leaders from watching to leading.
Tangible code beats theoretical roadmaps. I build the smallest prototype that answers the key technical and business questions, across agents, computer vision, and ML, before you commit to a full build.
A small open-source video platform shipped a major release this week, and the online reaction split into 'nice tech, doomed to fail' versus something more interesting. The argument reveals how badly we've let one company define what a successful video platform even looks like.
Cloudflare's new Monetization Gateway lets sites charge AI agents per request. The mechanism might finally solve micropayments, but the same old question follows: who ends up owning the meter.
A professor at Brown denounced mass AI cheating on a take-home exam. The outrage landed on the students. The design problem deserves more attention.
Qwen 3.6 27B is running at 30 tokens per second on consumer hardware and doing real development work. That shifts the question from whether local AI is viable to when it is the right call.
Almost every viral money take is built on one of four simple mix-ups: a total confused with a yearly rate, the headline number confused with earnings, how tax slabs work, and a multiple confused with a real return. Here's how to spot all four.
A fintech engineering handbook is making the rounds, and the debate around it is more instructive than the document itself: three principles survive every context, and organizations still break them anyway.
The US government has moved from checking who uses frontier AI to deciding which institutions get to use it at all. Annex A is the permanent structure, and it changes the competitive picture for anyone not on the list.
OpenAI announced Jalapeño, a Broadcom-built inference chip, and claimed their own AI helped design it. Whether that is real or IPO marketing is the interesting question, and OpenAI is the one company that should know the answer.