You will get a full-stack Next.js and FastAPI web app, deployed live
Project details
You've got a product in your head, or a rough version that needs to become something people can actually use. You want it live on a URL and working, not a template you'll outgrow in a month.
That's the work I do. I build full-stack web apps with Next.js on the front and FastAPI (Python) on the back, with proper login, a real database, and deployment on Vercel and Cloudflare that handles SSL and subdomains the right way.
A couple of things I've shipped: my own portfolio platform (Next.js frontend, FastAPI backend, admin panel, and an Android app, all with subdomain routing and auth), and Prismock, a self-hosted image CDN on Next.js, FastAPI, and MongoDB behind Cloudflare. There's more in my portfolio.
How I'd approach yours: figure out what you actually need first, map the pages and the data, then build it end to end and put it live so you test the actual app, not mockups.
Straight with you: I'm newer on Upwork, so I'm all in on getting your first impression right. We can start with a small milestone you release only once you're happy. If the first piece isn't right, you don't release it.
Send me what you're building and I'll tell you honestly how I'd ship it.
That's the work I do. I build full-stack web apps with Next.js on the front and FastAPI (Python) on the back, with proper login, a real database, and deployment on Vercel and Cloudflare that handles SSL and subdomains the right way.
A couple of things I've shipped: my own portfolio platform (Next.js frontend, FastAPI backend, admin panel, and an Android app, all with subdomain routing and auth), and Prismock, a self-hosted image CDN on Next.js, FastAPI, and MongoDB behind Cloudflare. There's more in my portfolio.
How I'd approach yours: figure out what you actually need first, map the pages and the data, then build it end to end and put it live so you test the actual app, not mockups.
Straight with you: I'm newer on Upwork, so I'm all in on getting your first impression right. We can start with a small milestone you release only once you're happy. If the first piece isn't right, you don't release it.
Send me what you're building and I'll tell you honestly how I'd ship it.
What's included
| Service Tiers |
Starter
$149
|
Standard
$599
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 21 days |
Number of Revisions | 2 | 3 | 4 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Somesh
AI Automation Engineer | RAG & LLM Systems | Python | Local AI | CCF-A
Hyderabad, India - 7:48 pm local time
I built an LLM code testing system for Thomson Reuters ($35B+), and I rebuilt a code intelligence platform that now runs at five tech companies.
The hard part of AI was never the demo. It's building something that still works once real users get their hands on it. Most of the time the problem isn't the model, it's what gets pulled in before it answers, and that's the part you can actually fix. That's the work I'm good at.
I'm an AI and LLM engineer, and I also work full stack in Python (FastAPI) and Next.js/React, so I can take an AI feature from a rough idea all the way to a shipped product. I'm Anthropic Claude Certified, and there's real work of mine in the portfolio below.
A few things I've built:
→ Thomson Reuters ($35B+): an LLM code testing system (Dockerized Python + Next.js) that reads GitHub repos, writes its own test cases, and uses LLMs to find and fix failures. I got pulled onto the client team in my first week.
→ A code intelligence platform I rebuilt from an earlier version. It turns any codebase into a graph you can query, then writes documentation and architecture diagrams off it. It now runs at five tech companies.
→ A meeting assistant (Whisper, Pyannote, local SLMs) that transcribes and summarizes entirely on the user's own machine, so no audio ever leaves it. Running inside EPAM Systems today.
→ A live dictation tool that turns speech into clean text in under a second, fully offline.
What I can build for you:
→ RAG systems and chatbots over your own docs, PDFs, or knowledge base (LangChain, vector DBs, OpenAI/Claude), with sources you can check so it won't invent answers
→ AI agents and workflow automation (Make dot com, Zapier, n8n, custom API pipelines)
→ LLM features inside your app, plus the FastAPI and Next.js backend and frontend to run them
→ Evaluation and testing for your LLM, so the wrong answers get caught before your users find them
→ AI that runs on your own hardware, for when your data can't touch the cloud (legal, finance, health)
How I work: I nail down scope early, keep you in the loop as I go, and hand you clean, documented code you can maintain long after we're done. I build things meant to survive real traffic, and I take security seriously, having found and reported real auth vulnerabilities the right way.
If you're building an AI feature, a chatbot, or an automation, send me a short brief and I'll tell you straight how I'd tackle it. I usually reply within a few hours.
Steps for completing your project
After purchasing the project, send requirements so Somesh can start the project.
Delivery time starts when Somesh receives requirements from you.
Somesh works on your project following the steps below.
Revisions may occur after the delivery date.
Tell me the goal
Send me what you want built and who it's for. I'll ask a few sharp questions up front so we're building the right thing instead of guessing at it.
I map it out
I'll come back with a simple plan: the pages, the backend, the data, and how it all fits together. You sign off on that before I write a line of code.