From business analyst to building AI agents solo.
I started out as a Business Analyst. Looking back, the hardest parts of that job were never really technical — they were judgment calls: what to build, what to kill, whose version of the problem to trust when three markets were all describing the same friction differently. As a BA I could see those calls clearly, I could even push for one answer over another, but at the end of the day it wasn't mine to make. Getting promoted to Product Owner changed that. I finally got to make the call myself, and that's honestly when I figured out what I actually enjoyed about this work — taking something messy and figuring out where the actual solution is hiding inside it.
Eight years and 22 markets later, that's still true. The moments I remember aren't the launch days or the dashboards. It's sitting with a field rep who's fed up with a process that doesn't work, or spending a week figuring out why "compliance" means three completely different things depending which market you're in, and then actually fixing it for them. That's what keeps me here — not the title, just the problem itself. It's also why I keep building things on my own time. FieldIQ started because I couldn't stop turning over how AI could actually fix field execution problems for CPG and retail teams. Nobody asked me to build it. I just couldn't leave it alone.
One engagement, escalating ownership
The arc
Business Analyst
Requirements and process mapping for the sales execution MVP.
Product Owner, AI & Global Digital Platforms
Owned the 22-market platform and the B2B commerce and loyalty portal.
Product Manager & GTM Lead, AI SaaS & Enterprise Solutions
RGM·AI — 2024 Stevie Award, AI Product of the Year.
All of it at TCS, on the same enterprise engagement. After 7.5 years, culminating in the 2024 Stevie Award, I took a deliberate step back to ask what hadn't been built and why. I went hands-on with the current AI stack and independently built FieldIQ, solo, end to end.
Now I'm looking for a role where that judgment — building fast, killing what doesn't earn its keep, keeping humans in control of consequential decisions — is the core of the job.
Creed
Adoption is a product design problem, not a training problem.
Field users don't want more dashboards — they want fewer decisions.
What I work with
Skills
Applied AI
- Agentic workflows
- RAG orchestration
- Structured outputs
- Eval & guardrail design
- Human-in-the-loop governance
- Model selection on latency & cost
- Build-vs-buy on ML
Product
- 0→1 builds
- Multi-market platform strategy
- JTBD discovery
- Experimentation
- Enterprise stakeholder alignment
- GTM
Tools
- Salesforce Commerce Cloud
- Salesforce Marketing Cloud
- SQL
- Mixpanel
- Figma
Education & certifications
- MBA — Indian Institute of Management Indore (2016–2018)
- B.E. Electrical Engineering — BMSCE, Bangalore
- Harvard Business School Online — Winning with Digital Platforms (2024)
- Anthropic Academy — Agentic AI
- Google AI Essentials (2025)
- DeepLearning.AI coursework
- IBM AI Product Manager Professional Certificate (in progress)
- Pragmatic Institute — Foundations (certified), Focus (in progress)