Functional tech fluency
I read architectures, evaluate platforms, and ramp up on new domains fast — Cloud, GenAI, AIOps, RPA, service virtualization. AWS Certified Solutions Architect.
- GenAI & LLM platforms
- Hyperscaler ecosystems
- AIOps & automation
Strategy & GTM leader translating real business problems into AI-powered solutions. 12+ years at the intersection of Cloud, GenAI, and enterprise transformation — turning emerging tech into commercial outcomes.
I'm an engineer who fell into strategy — and eventually realized that strategy without execution is an expensive PowerPoint.
Twelve-plus years in, my favorite kind of week is one where I spend the morning with a CEO discussing sales efficiency, then close the laptop in the evening, open VS Code, and prototype something with Claude that might actually move the needle. I'm deeply interested in the gap between what technology makes possible and what businesses are actually willing to pay for — most people choose a side; the real work happens in between.
Today, I lead GTM & Partnerships at Bootlabs Technologies (a QualityKiosk Group company), where I built a new vertical from the ground up and, somehow, got both Google Cloud and AWS to put our name on their slide decks. I work closely with leaders across BFSI, Utilities, and Mobility/Manufacturing to move past the noise around AI and focus on what actually creates value. Most conversations start with ambition, but the real work is in narrowing it down to use cases that can be built, adopted, and scaled. I spend my time translating possibility into execution — working with teams to design, prototype, and ship solutions that don't just sound good in a room, but hold up in the real world and move business outcomes.
Earlier in my career, I worked alongside McKinsey on APAC RPA strategy at HCL and led product and GTM for QualityKiosk's AIOps platform, AnaBot. On the side, I've built a GenAI app (Read The Label), launched two ventures (Paisa To Bolta Hai and Quillo), written a Kindle book on entrepreneurs, and contributed to a case study published by the University of Michigan.
I read architectures, evaluate platforms, and ramp up on new domains fast — Cloud, GenAI, AIOps, RPA, service virtualization. AWS Certified Solutions Architect.
From positioning to pipeline. I build playbooks, sales collateral, commercial models, and joint plays that move enterprise deals.
Trusted in CXO rooms. I run discovery-to-close cycles for Tier-1 BFSI and report straight to leadership and investor boards.
I build the partnership flywheel — hyperscaler co-sell, white-label deals with Big 4, and platform alliances that unlock new markets.
Recent MVPs where I sat with the business problem, designed the AI solution, and shipped a working prototype to validate the wedge. All Claude-powered.
Business users describe what they need in plain language. The dev team receives a local VSCode utility ready to be productionized. All powered by Claude — collapsing the discovery-to-prototype gap from weeks to hours, and giving engineers a clean handoff instead of a hand-wavy spec.
An AI-augmented analytics layer for revenue teams — turning raw pipeline and CRM data into action-ready signals. Built to demonstrate how GenAI replaces dashboards-of-the-week with always-on intelligence that surfaces what matters: at-risk deals, coaching cues, account health.
Decks I write for CXO and board audiences — distilling fast-moving spaces into decisions worth making. Here's the most recent one, free to download and use.
The Intelligence Revolution in Banking, Financial Services & Insurance
A board briefing on global & India trends, key players, agentic AI, and implementation challenges.
Sources: McKinsey · Gartner · WEF · NASSCOM · RBI
10 slides covering three waves of AI, an India spotlight (SBI, HDFC, ICICI, RBI), global use cases, the key players defining the race, an agentic-AI deep dive, eight forces reshaping the sector, implementation hard-problems, and five strategic imperatives the board can act on.
Built a new vertical from scratch — owning GTM strategy and execution for GenAI and Cloud platform solutions across BFSI, Utilities, and Mobility/Manufacturing.
Scaled 2 products to enterprise adoption, leveraging QK's 50+ member sales engine and building joint GTM plays.
GTM playbooks for BFSI-focused SaaS offerings; opened a strategic Tier-1 BFSI account that anchored long-term cross-sell.
End-to-end product strategy & GTM for AnaBot (AIOps) and Service Virtualization — discovery to commercial launch.
Worked alongside McKinsey on APAC RPA expansion strategy and inorganic growth modelling.
Customized solutions and tailored proposals for Education Vertical, public sector, and enterprise accounts.
IMT Ghaziabad
Postgraduate management — strategy, marketing, finance.
Rajasthan Technical University, Kota
Engineering foundation that still anchors my technical fluency today.
Amazon Web Services
Cloud architecture, well-architected framework, and service depth.
Things I've conceived, built, or written outside the day job — to keep sharp on product instinct and thought leadership.
An introduction to the entrepreneurs of the century. Published on Amazon Kindle — a long-form take on what made today's iconic founders tick.
Publication · UMichCase study published by the William Davidson Institute at the University of Michigan — a deep-dive into branding strategy for a heritage Indian consumer brand.
GenAI-based consumer app that turns dense product labels into clear, decision-ready insights for everyday shoppers. Conceived, designed, shipped.
Personal product venture — exploring product, design, and go-to-market end-to-end as a founder-builder.
Product · PersonalPersonal product venture — built to sharpen product instincts, prototyping speed, and hands-on shipping.
If I joined your team tomorrow to stand up Enterprise AI or scale AI GTM — here's the punch list, in priority order.
Every enterprise has 20+ half-baked initiatives. Audit before you act.
CoEs that protect everything ship nothing. Prune so capital concentrates.
Score on data readiness, ROI, regulatory fit, time-to-impact. Otherwise it's a wish-list factory.
Credibility comes from shipping — not from orchestrating.
Explainability, audit trails, human-in-the-loop. Strict first, loosen later.
Most AI GTM strategies run on assumption. Read the last 20 deals before touching the playbook.
"We do GenAI" loses. "30% cut in loan-ops cost in 90 days" wins.
Wedge first, expand later. Everything-everywhere narratives kill deals.
Most AI startups list with GCP/AWS/Azure but never run it. Pick one. Drive it like an alliance.
Most AI revenue comes from a handful of marquee accounts. Earn them deliberately.
Open to senior GTM, strategy, and CEO-office mandates — and to interesting partnership conversations.