Aniket Betkikar.
Fractional CTO · AI Product Engineer · 15+ yrs independent

I turn a messy idea into a product that ships.

I'm Aniket — a technical partner for founders who don't have a tech team, and SaaS teams who need AI done properly. I built an entire AI SaaS product solo — front end, back end, infrastructure, every AI feature — and spent 15 years shipping production software for teams across Europe. If you have the idea, the customers and the business knowledge, I bring the team.

Node.jsOpenAI & Claude APIsn8n & automationStripeMongoDBThree.js
Who I work with

Two ways to work with me.

Founders without a tech team

You have the idea, the customers and the business knowledge — not the engineers. I work as a fractional CTO: architecture, build, and ship the whole product, AI included.

SaaS teams adding AI

You already have a product and a team. You need OpenAI or Claude built into it properly — chat, document processing, structured extraction, RAG, agents — without breaking what's already shipping.

Case study — vizologi.com

An AI business-strategy platform, built solo.

Vizologi helps founders and analysts reason about business models with AI. I designed and built the whole product — front end, back end, infrastructure, and every AI feature in it.

Three AI features, one engineer, running in production.

Live product

Each of these is a distinct pattern I designed, built and keep running against real usage — with the cost control, queuing and failure handling that separate a feature that ships from one that stalls in a notebook.

RETRIEVAL CHAT

Ask in plain language

A question about companies or markets pulls the right records from the database and answers with generated charts and cited sources.

ORCHESTRATION

Autopilot pipeline

One short prompt fans out through a sequenced, queued pipeline to produce a full business model canvas, SWOT and PEST analysis.

GENERATION

Instant company breakdown

From just a company name and URL, generate a structured business-model overview in seconds — bounded to stay useful, not generic.

Under the hood — Node.js + MongoDB Atlas · asynchronous job queues for the multi-step pipelines · source-grounded retrieval · and model/token-cost tuning worked out against real production limits (smaller models that finish structured output where larger ones truncate). Currently extending retrieval from keyword to vector/hybrid search.

Selected work — 3D on the web

Real-time product configurators, in the browser.

Interactive 3D for physical products — customise a product and watch it update live. Built with Three.js on the front end and Blender Python scripting to generate the geometry. Few AI engineers ship this; I've shipped three.

  • 01 Ice-pop configurator Three.js · Blender
  • 02 Chocolate configurator Three.js · Blender
  • 03 Shoe-outsole configurator Three.js · Blender

drag to rotate · three.js

Capabilities

What I actually do.

Full-stack SaaS builds

Next.js front ends, Node.js backends, Postgres/MongoDB, Stripe billing, multilingual systems — the whole product, when there's no team to hand it to.

AI product integration

OpenAI and Claude wired into an existing product — chat, RAG, structured extraction, agents, workflow automation — built to run in production, not a notebook.

Automation & integrations

n8n workflows, Odoo, and the legacy systems a business already runs on — wired together instead of ripped out and replaced.

3D for the web

Interactive configurators with Three.js and Blender — real-time geometry in the browser, generated from parametric models.

A technical partner for founders who don't have — or don't need — a full engineering team.

I take a business problem and own it end to end: architecture, build, integrations, and the AI layered on top. Not a spec handed to a team — the whole thing, shipped, by one person who's done every layer before.

Based in Goa, India, I've run production software for teams across Europe for over a decade — SaaS products, AI integrations, automation, payments, multilingual systems, and the legacy code most people won't touch. I care about the boring parts — the queue that doesn't drop jobs, the cost that stays predictable, the deploy that comes back up.

Available for new work

Need a technical partner — or an AI feature that ships?