I run growth for B2B SaaS. When the tool I need doesn’t exist, I build it with AI. That’s how a marketer ends up shipping a product.
Five systems I built to fix something too slow, too manual, or stuck between tools. The numbers hold up, but why I built each one matters more.
01 / 05
An internal fix that became a product.
Most teams run social, email, ads and SEO as separate efforts without really knowing which one moved the goal. Kepler makes revenue the point and treats every channel as a way to get there. It learns what’s working for you, then optimises toward a goal you set. I made the architecture and design calls; AI did the building.
02 / 05
The plumbing that makes growth repeatable, not lucky.
The databases, the automation, and the tracking, all wired so you can see what worked and what it cost. I set up how a whole team uses Apollo, automated the work across the CRM, outreach and reporting, and instrumented everything so the numbers hold up.
03 / 05
Pipeline, built from a cold start.
Give me an account at near-zero and I’ll build the funnel and the outbound that turn it into booked demos, plus the tracking to prove which part did the work. The pipeline I’ve sourced runs global, and I move it from demo to proposal to deal.
Demos → Proposals → Deals
04 / 05
Getting noticed, starting from nothing.
The positioning, campaigns and events that build organic reach and keep paying off after launch. I like the strategy end of this: finding the angle a company can own, then the campaign or the room that makes people care.
05 / 05
A prompt in, on-brand content out.
An engine that runs the whole content chain: competitor research, keyword scoring, drafting, and the technical files a site needs to rank. It took a team past a hundred blogs a month. I built an AI video pipeline alongside it.
Cold-email systems, Apollo databases, LinkedIn and retargeting funnels. A cold start turned into booked demos at the lowest cost per lead on the team.
Workflows wired across the CRM, outreach and reporting so the work repeats without babysitting. The machine that runs the marketing.
Keyword scoring, AI blog generation, and the backend files that make a site legible to search and to models (sitemap, robots, llms.json). Fifteen posts a month to a hundred and twenty.
Architecting and shipping real products with AI. Kepler is the proof: my calls on architecture and design, AI on the build.
Positioning, campaigns and roundtable events that build organic reach from a near-zero footprint, and keep paying off after launch.
GA4, Tag Manager and Search Console wired so growth is observable. I like knowing whether a thing worked, and what it cost.
Aug 2025 — Present
Bengaluru
Feb 2025 — Jun 2025
Remote
Jan 2024 — Nov 2024
Bengaluru
Sep 2022 — Jun 2023
Bengaluru
Aditya Rajesh I’m a biotech grad who found his actual field somewhere in the middle of university. I kept doing the marketing, for a student non-profit, for a clothing label I ran with friends, for a few freelance clients, and it turned out that’s the thing I’m good at. Seeing what a brand should be, then building the machine that gets it there.
The software part came later, at Turbostart. Our blog output was stuck at about fifteen a month, held back by people, not ideas. So I fixed it. The engine I built took us past a hundred in days. That kept snowballing, one build after another, until it became Kepler.
I like games, puzzles and space, which is roughly what growth is: a system of moving parts you tune until it runs on its own.
I build the systems behind B2B SaaS growth, and the products that run them. If that’s useful to your team, let’s talk.