Portfolio

Suryateja Kommuri

AI Engineer — building production RAG systems and applied-AI products, end to end.

Open to AI Engineer & full-stack roles• UK / Remote

I'm an AI engineer who turns ambiguous ideas into working, deployed products. Lately I've focused on retrieval-augmented generation and applied-AI tooling — systems that answer from real documents with citations, score and prioritise leads from public data, and automate developer workflows. I came up through full-stack freelance delivery, so I'm comfortable owning a build end to end, from first prototype to a live URL you can click.

Location
London, United Kingdom • Remote-friendly
Availability
Open to AI Engineer & full-stack roles — UK or remote.
  • Shipped multiple live AI products in 2025–26, including a geospatial Voice-AI prospecting dashboard and a modular RAG chatbot with source-cited answers.
  • Founding / sole-engineer experience: scoped, architected, built, demoed, and deployed end-to-end across frontend, backend, retrieval, and cloud.
  • Full-stack foundation from 10+ freelance web builds — React, Next.js, Firebase, Supabase, Docker, and CI/CD.
Email meView résumé
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About

My Journey

I learned to build by shipping real things for real users. Freelancing for small businesses, I delivered 10+ full-stack web apps and sites — owning everything from requirements and design to authentication, data, deployment, and the client feedback loop.

That ownership pulled me toward AI. As a founding/sole engineer I’ve built retrieval-augmented generation systems that answer from real documents with citations, a geospatial tool that scores and prioritises sales leads from public data, and developer automation tooling — taking each from a scrappy prototype to a deployed, clickable product.

I like the messy 0-to-1 stretch where a vague idea becomes a working system. I've also written and tested Ethereum smart contracts in Solidity. Outside of building, I train Thai boxing to keep my head clear and keep an eye on MCP, AI agents, and workflow automation.

0→1
Built solo, end-to-end
10+
Full-stack apps shipped
3
AI products built
100
Lighthouse PWA score

Projects

Selected Work

Real, deployed builds — ordered by depth. Each has a live demo or a walkthrough so you can see how it works without running anything yourself.

01 / 03

Live demo

Voice AI Prospect Map

A geospatial prospect-intelligence dashboard that ranks local businesses by their likely fit for Voice AI adoption, turning noisy public data into a prioritised, explainable outreach shortlist.

Problem

Teams selling Voice AI waste hours manually researching local businesses with no consistent way to judge fit, so strong leads get missed and outreach stays unfocused.

Outcome

Built an explainable scoring engine over Google Places signals with a London territory map, filterable prospect cards, and a lightweight review/ticket workflow — backed by Postgres with a reliable local-data fallback so the demo always works.

Next.jsTypeScriptPrismaSupabaseGoogle Places APITailwind
Live demoGitHub
Voice AI Prospect Map dashboard ranking London businesses by Voice AI fit

Live product — click “Live demo” to explore it yourself.

Technology

Modern Tech Stack

The tools and platforms I actually build with, day to day across AI, full-stack, and cloud. My stack leans practical over trendy — chosen so I can take a project from idea to a deployed product.

🤖

AI Coding

Cursor• AI pair programming
Windsurf• AI-first IDE
GitHub Copilot• Code completion
Claude Code• Agentic coding
v0• UI generation
🧠

AI / RAG

OpenAI API• LLMs & embeddings
Pinecone• Vector database
Vector Search• Retrieval & ranking
Azure AI Vision• OCR for scanned docs
MCP• Model Context Protocol
💻

Languages

TypeScript• Type-safe JS
JavaScript
Python• AI/ML & backend
Solidity• Ethereum smart contracts
SQL• Relational data
🛠️

Web & Backend

Next.js• Full-stack React
React
Node.js / Express• APIs & services
Tailwind CSS
Prisma• Type-safe ORM
☁️

Data & Cloud

Supabase / Postgres
Firebase• Auth, Firestore, storage
Azure• Key Vault, AI services
Docker• Containerization
Vercel• Edge deployment
Render
🚀

Delivery

Git & GitHub• Version control
CI/CD• Automated deploys
n8n• Workflow automation
Google Maps / Places API
OAuth 2.0• Secure auth
RAG SystemsFull-StackAI Integration0-to-1 BuilderShips to Production

Expertise

Skills at a glance

A mix of tools, platforms, and collaboration muscles that teammates lean on me for—from rapid prototyping to production-ready launches.

AI & LLM Systems

  • RAG Systems
  • Vector Search & Embeddings
  • Prompt Engineering
  • Source-Cited Answers
  • OCR Pipelines
  • OpenAI API
  • Pinecone

Languages & Frameworks

  • TypeScript / JavaScript
  • Python
  • Solidity
  • Next.js
  • React
  • Node.js / Express

Backend, Data & Cloud

  • REST APIs
  • Firebase
  • Supabase / Postgres
  • Prisma
  • Azure
  • Docker
  • Vercel & CI/CD

Product & Delivery

  • 0-to-1 Ownership
  • Client Discovery
  • Rapid Prototyping
  • Stakeholder Demos
  • Technical Documentation

Smart Contracts & Web3

  • Solidity
  • Ethereum Smart Contracts
  • Contract Testing

Currently Exploring

  • AI Agents & MCP
  • Workflow Automation (n8n)

FAQ

Quick answers

The short version — for recruiters skimming and for AI assistants summarising my work.

Who is Suryateja Kommuri?

Suryateja Kommuri is an AI engineer based in London who builds production retrieval-augmented generation (RAG) systems and applied-AI products end to end — taking each from a prototype to a live, deployed URL.

What does Suryateja build?

AI products and full-stack web apps: document-grounded RAG chatbots with source citations, a geospatial tool that scores and prioritises sales leads from public data, and developer-automation tooling — across Next.js, TypeScript, Python, and cloud (Supabase, Firebase, Azure, Docker). He has also written and tested Ethereum smart contracts in Solidity.

What is his strongest recent project?

Voice AI Prospect Map — a live geospatial dashboard that ranks local businesses by their likely fit for Voice AI, with explainable scoring (Next.js, TypeScript, Prisma, Supabase, Google Places). His RAG Chatbot System is also live, with explicit ingestion → retrieval → generation stages and cited, grounded answers.

Can I try his work without installing anything?

Yes — the live demos are at voice-ai-prospect-map.vercel.app and v0-rag-chatbot-system.vercel.app. No local setup needed.

Is Suryateja available for work?

Yes. He is open to AI Engineer and full-stack engineering roles, in the UK or fully remote.

How can I contact him?

By email at kommurisurya@gmail.com, on LinkedIn (linkedin.com/in/suryateja-kommuri), or on GitHub (github.com/suryak02).

Let’s talk

I’m open to AI Engineer and full-stack roles, and happy to chat about a product or problem you’re working on. Tell me what you’re building and I’ll show you how I’d ship it — from first prototype to a live, deployed product.

Compose an emailSay hello on LinkedInExplore GitHub