I build end-to-end marketing automations, AI Agents, and lead growth marketing initiatives.
Services
$ ls -la ~/sumit/skills/
GTM Engineering
- Leads snoring? I'll have your CRM dancing to the beat of my algorithms in no time.
- ICP giving you icy stares? I can plug into your databases and extract the insights you need.
- ABM? SBM? The next shiny abbreviation? Book that call, let's lock your strategy down.
From RAG to Riches
- Vector Databases → Context Engineering
- Naive & Graph RAG
- Building decision engines that actually understand your business context.
Growth Marketing
- Growth levers that turn your haters into believers
- Strategy that lives outside your deck
- Identify, extract, analyze relevant data
- Actionable insights, quick wins and long-term planning
Agentic Workflows
- Automate the 'boring but necessary' GTM tasks
- Turn product features & Reddit threads into high-value assets
- Monitor LinkedIn engagement to detect rising topics
- Create content that actually answers your market's questions
Data Infrastructure
- Clean data pipelines that power your decisions
- Unified customer view across all your tools
- The actual hard work that makes AI possible
- 0 %
- Dentists agree working with me is less painful than a root canal
- 0
- Hours saved by spending 3 weeks automating a 5-minute task
- 0 %
- Coding agents agree I know what I'm doing
- 0 %
- Possibility of a slowdown on the I-5 in Los Angeles
Blog: The Growth Lab Experiments in engineering growth. Building and testing systems that identify, connect with, and convert the audience.
The Half-Baked Discipline: What GTM Engineering Should Claim Next
Four unclaimed territories that turn GTM engineering from a toolbox into a strategic function. Explore audience analysis, competitive intelligence, positioning validation, and signal-to-strategy feedback loops.
Feb 21, 2026 · 6 min read
GTM Engineering Has a Scope Problem
The discipline claimed the tools. It forgot to claim the strategy. Why GTM engineering needs to expand its strategic boundaries.
Feb 20, 2026 · 4 min read
Architecting the Signal Layer: Why GTM Engines Fail at Context
Intent data is a commodity. Every competitor has the same feeds, the same technographics, the same news alerts. The moat isn't finding the signal anymore. It's what you do with it. Here's how to build a GTM engine that reasons, not just reacts.
Feb 19, 2026 · 9 min read