You will get a production-ready AI-native web app built and tested end-to-end
Project details
You get an AI-native web product built and tested by one person who has shipped a real production AI SaaS solo. I build the frontend, backend, database, and AI features end-to-end in React, TypeScript, FastAPI and PostgreSQL, then test the result like a senior QA engineer because that is also my background. Most freelancers are either builders or testers. I am both, so what ships actually survives real users. I think about edge cases, broken states, race conditions and LLM hallucinations before they reach your customers. Bring me a fresh idea, a half-built repo, or a messy backlog. I will tell you honestly if I can build it, how long it takes, and what it costs.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$150
|
Standard
$650
|
Advanced
$1,800
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 30 days |
Number of Revisions | 1 | 3 | 7 |
Number of Pages | 1 | 3 | 8 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | |||
Source Code |
Frequently asked questions
About Rutvik
Full Stack AI App Builder and Senior QA Engineer One Man Army
Ahmedabad, India - 2:00 am local time
WHAT I RECENTLY BUILT, SOLO, ZERO TO PRODUCTION
NotCluely.in is a live AI-native SaaS platform I built end-to-end as the solo founder and engineer. It is not a CRUD app. Highlights:
- Real-time observability dashboard with live visitor feed, ML-driven person clustering, flow funnels with dropout analysis, and a 6-rule anomaly detection engine (impossible-travel, OTP burst, new admin device, failed-login burst, cluster churn, settings tamper).
- Vision-AI payment proof verification: Gemini analyzes uploaded screenshots and returns verdict, confidence score, and admin recommendation.
- A 40-tool Jarvis chatbot wired directly to FastAPI endpoints, so the AI does not just answer questions, it actually runs the business (cancel booking, approve payment, create invite, and 37 more).
- Native Claude CLI integration via PTY plus WebSocket tunnel, streaming live Opus, Sonnet, and Haiku to an xterm.js terminal in the browser.
- AI in the full career pipeline: resume analysis, adaptive questionnaire generation, ATS-friendly resume rewrite, persona generation, transcript analysis.
- Prompt-injection defense by default on every user-supplied text, sentinel-wrapped before it ever touches the LLM.
- Production-grade depth: 52 PostgreSQL tables, 55 plus Alembic migrations, JWT plus OTP auth via Gmail OAuth, GDPR Article 17 erasure pipeline, granular RBAC with 13 plus field-level admin permissions, anti-reverse-engineering watermarking with MutationObserver re-injection.
WHAT I CAN BUILD FOR YOU
- AI-native SaaS products and internal tools, end-to-end
- LLM features: chatbots, function-calling agents, RAG, persona generators, transcript and document analysis
- Vision-AI workflows (OCR, screenshot verification, document extraction)
- Real-time dashboards with WebSockets, anomaly detection, audit trails
- Landing pages and full marketing sites with payments (PayPal, UPI, Stripe)
- CRMs, admin panels, and operational dashboards
- End-to-end test automation you will actually trust: cross-browser Playwright in async Python, plus Cypress, Appium, and Detox where they fit
WHY THE QA HALF MATTERS FOR YOUR BUILD
I have spent years stress-testing AI and ML products, CRMs, Web3, Blockchain, and B2B platforms in production. When I build, I think about edge cases, broken states, race conditions, and what happens when the LLM hallucinates, before your users find them. I also bring a reusable async-Python Playwright automation framework I authored that drops into any web project for instant CI-grade coverage.
MY DAILY STACK
Frontend: React 19, Vite, TypeScript, Tailwind
Backend: Python, FastAPI, SQLAlchemy, Alembic, WebSockets
Database: PostgreSQL (Aiven), advanced migrations and audit triggers
AI: Gemini API, Claude API, Claude CLI integration (PTY plus WebSocket), per-feature model routing, API key pooling and rotation
Auth and Security: JWT, OAuth2, OTP via Gmail OAuth, prompt-injection defense, SSRF validation, rate limiting, brute-force lockout
Deploy: Vercel (frontend), Render (backend), auto-deploy from main
Testing: Playwright (E2E, async Python), Cypress, Appium, Detox, Postman, JMeter
THE DEAL
You get a one-man-army builder who has shipped a real, production AI product solo, plus senior QA discipline baked in, at a rate that frankly undervalues the combination. I would rather build long-term relationships than chase one-offs. Send me your idea, your half-built repo, or your messiest backlog. I will tell you honestly whether I can build it, how long it will take, and what it will cost.
Ready to ship? Let us talk.
Steps for completing your project
After purchasing the project, send requirements so Rutvik can start the project.
Delivery time starts when Rutvik receives requirements from you.
Rutvik works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff and scoping call
We jump on a call. I confirm scope, stack, constraints, and timeline, and flag risks honestly so there are no surprises later.
Build in short, reviewable chunks
I ship the work in small, demoable chunks so you can react early. You see real progress, not just status updates.