Context

The Questions
Worth Asking.

Every profile raises questions. This page answers the ones a recruiter will have but won't ask — directly, and on my terms.

The obvious question

You left 1Lattice in December 2025. What happened?

The project pipeline was thinning. Rather than wait for the next assignment in a holding pattern, I made a deliberate decision to step back, recalibrate, and invest the time in something I knew would compound — a focused upskilling period in AI, at a moment when the field is moving faster than most organisations can keep up with.

01 — The Decision

Why leave instead of waiting it out?

In consulting, there are moments between engagements where you can either coast or build. When the pipeline at 1Lattice thinned out, I assessed the situation clearly: the next assignment was uncertain in timing, and the opportunity cost of waiting was real.

AI capability is compounding every few months. The gap between professionals who are building with these tools and those who are merely aware of them is already significant — and widening. I chose to be on the right side of that gap, deliberately, with time and structure behind it.

That decision was active, not reactive. It was made with a plan, not out of frustration.

02 — The Work Since

What have the last few months actually looked like?

Structured, intensive, and documented. This wasn't a break — it was a build period. Here's what it has included:

🎓
IIT Roorkee Certification
AI Agents & Applied Data Analytics — a structured programme from one of India's premier technical institutions.
⚡
AI Mastermind Programme
20+ AI tools across GenAI, automation, and no-code — including intensive 10-hour weekend training sessions.
🤖
Anthropic AI Fundamentals
Certified in Claude API usage, prompt engineering, agentic workflows, and enterprise AI deployment patterns.
🛠️
Hands-On Project Work
Built and documented real AI tools on GitHub — not theoretical exercises. Production-oriented, problem-first builds.
03 — The Search

What kind of role am I targeting — and why haven't I "just taken something"?

I am actively in the market and open to the right conversation. I am not in a position where I need to accept the first available offer — which means the role I join will be a considered fit, not a default choice.

The combination I bring — strategy consulting experience, full-stack BFSI engineering background, and hands-on AI capability — is uncommon. I'm targeting organisations where that combination is genuinely valued, not just listed as a bonus.

AI Engineer and LLM application developer roles at product and tech companies
AI automation and agentic workflow roles where building in production matters
Analytics or data roles at AI-first companies where Python, SQL, and business context work together
Strategy or consulting roles at growth-stage companies where AI fluency is the differentiator, not an afterthought

If you've read this far, let's talk.

This page exists because I believe the best professional relationships start with clarity. If what you've read aligns with what you're looking for — I'm easy to reach.