Co-Founder · Full-Stack Engineer & AI Developer

Namit Jain

Builds the product the campaigns point at — and the automations that run once everyone goes home.

2.7M+
Data points processed
30%
API latency reduced
50%
Release cycles cut
70%
Manual ops automated
4M
SEO impressions in 3 months
1st
Trikon 1.0 Hackathon

Who you are working with

Namit runs the build side of Advorize. A full-stack developer and AI engineer working in React, Next.js, React Native, Node and Python, with production systems behind him rather than side projects — 2.7M+ data points processed through automated pipelines, API latency cut by 30%, release cycles halved by automating CI/CD.

As a founding engineer at Saathi.app he built an AI travel planner on multi-step LLM workflows and automated 70% of manual operations, cutting backend latency by 60% while scaling pipelines past a million records. At oncourseAI he shipped RAG chat, quiz agents and content pipelines, and took SEO from zero to roughly 4M impressions in three months through automated research and publishing systems.

That combination is the reason Advorize can quote a build and a campaign in the same conversation. 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

01

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.

02

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.

03

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 normal target, not an ambitious one.

04

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.

05

Own the infrastructure

CI/CD, rollbacks, monitoring and deployments are part of the build, not an afterthought for someone else. Fast, reversible releases are what let a small team move at all.

On a project, Namit runs

  • Full-stack web apps 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
  • AI systems: RAG, LLM workflows, agents, vector search
  • Custom CRM builds and internal tooling
  • Cloud, CI/CD, deployments and performance work

Toolkit

Frontend
ReactNext.jsTypeScriptReact NativeTailwind CSSRedux
Backend & data
Node.jsExpressPythonFastAPIPostgreSQLMongoDBRedis
AI & ML
Azure OpenAILangChainCrewAIHugging FaceOllamaChromaDBRAGNLP
Cloud & DevOps
AWSDockerGitHub ActionsCI/CDVercelJestPyTest

Track record

Jun 2025 – present
oncourseAI · Full-Stack Engineer
AI workflows (RAG chat, quiz agents, content pipelines) replacing manual flows · SEO 0 → ~4M impressions in 3 months · ~50% better API performance
Nov 2024 – Jun 2025
Saathi.app · Founding Engineer
AI travel planner on multi-step LLM workflows · 70% of manual operations automated · backend latency down 60% · pipelines scaled past 1M records
Shipped
NutriNode AI · React Native
AI dietician that scans a meal and returns nutrition against your goals — live on the App Store
Shipped
Blue Chip International · Full-stack platform
Analytics, admin dashboard and payment integrations on Flask, Docker and a self-managed VPS
The other half

Akshat Jain

Buys the attention, qualifies it, and refuses to call an unqualified lead a result.

Want Namit on your project?

Call +91 87775 28883