Co-Founder · Full-Stack & AI Engineer
Namit Jain
Builds the systems the campaigns point at — and keeps them standing at volume.
Who you are working with
Namit runs the build side of Advorize. He works across React, Next.js, React Native, Node and Python, and the work is measured the way infrastructure gets measured: 2.7M+ data points moving through automated pipelines, API latency down 30%, release cycles halved by owning CI/CD end to end.
He was the founding engineer at Saathi.app, where he built an AI travel planner on multi-step LLM workflows, automated 70% of manual operations, cut backend latency by 60% and scaled pipelines past a million records. At oncourseAI he owns the AI surface — RAG chat, quiz agents, content pipelines — and took organic search from zero to roughly 4M impressions in three months on publishing systems he built to run without him.
Systems he has written are live on the App Store and running production traffic for businesses that never speak to him. That is the bar he brings here: the person wiring the conversion events is the person who wrote the checkout.
“Production-ready or it doesn't count. A demo that impresses in a meeting and falls over under load was never finished.”
How Namit thinks
Ship it where users are
An app is not done at the demo. It is done when it is in the store, instrumented, and someone who has never met you can complete the flow without help.
Latency is a feature
People abandon slow things. Recognition tuned for speed over exhaustive accuracy, endpoints profiled until the root cause is found rather than papered over — a 30% cut in API latency is worth more than most redesigns.
Automate the middle
Most businesses run on humans copying between systems. That middle is where AI actually pays: lead routing, qualification, follow-up, publishing, reporting. Seventy percent of manual operations replaced is a number I’ve hit, not a number I quote.
AI agents with a job description
A general chatbot helps nobody. An agent trained on one niche, with one outcome it is accountable for and a clear handoff to a human, changes what a small team can carry.
Own the infrastructure
CI/CD, rollbacks, monitoring and deploys are mine, not someone else's ticket. Halving a release cycle is what lets a team this size carry work this size.
On a project, Namit runs
- Full-stack platforms in React, Next.js and TypeScript
- Cross-platform mobile apps in React Native, shipped to the stores
- Backends and APIs in Node, Express, Python, Flask and FastAPI
- Production AI systems: RAG, LLM workflows, agents, vector search
- Data pipelines at millions-of-records scale
- Custom CRM builds and internal tooling
- Cloud, CI/CD and performance ownership
Toolkit
Track record
Akshat Jain
Buys the attention, qualifies it, and refuses to call an unqualified lead a result.
Want Namit on your project?