Vishal Kumar Gupta — AI Engineer & Full-Stack Developer.
I'm Vishal Kumar Gupta. I turn LLMs, RAG pipelines and autonomous agents into production software with real users — not notebook demos. Python is my native language; shipping is my habit.
vishal@dev:~$
WHO AM I
12+ years ago I started writing backends. Today I lead AI engineering — designing the layer where large language models meet real infrastructure: doubt-resolution engines answering thousands of students, autonomous agents that read job posts and write winning proposals, risk-scoring pipelines trusted by financial clients.
I've led teams of 3–5 engineers across EdTech, FinTech and HealthTech, shipped platforms for WHO, UNICEF and Carlyle Capital clients, and cut system latencies by up to 96%. I care about one thing above all: AI features that survive contact with production — measured, tested, deployed daily.
And when a product needs the whole stack — Angular or React frontends, D3 dashboards, Stripe payments, browser extensions — I build that too. If it involves Python, an LLM, and a hard problem — I'm interested.

WHAT I DO
Six capabilities — and the exact stack behind each one. Pick one to explore.
LLM Integration
Models wired into real products
OpenAI and Claude integrated properly — tool calling, structured outputs, streaming responses, fallback chains and token/cost control. Built to survive real traffic, not demo day.
AI Agents
Autonomous systems that act
Agents that read, decide and act on their own — job-bidding bots, proposal writers, CV tailors and workflow automators running around the clock without supervision.
RAG Pipelines
Your knowledge, made retrievable
Retrieval-augmented generation over your own data — smart chunking, hybrid retrieval, relevance evaluation and hallucination guardrails so answers are grounded, not guessed.
Backend Architecture
Systems built to scale
FastAPI and Django services engineered for load — async APIs, WebSocket real-time layers, Celery queues and PostgreSQL tuned until the slow queries stop being slow.
Full-Stack Development
One developer, the whole product
Complete product builds — Angular and React frontends, D3.js dashboards, Stripe payments and browser extensions, sitting on backends I built myself. No handoff gaps.
Ship & Scale
Deployed, tested, monitored
Dockerized services on AWS with zero-downtime CI/CD, 85%+ test coverage and JWT/RBAC security. Also AI audits — an honest read on where AI actually fits your stack, and where it doesn't.
SELECTED WORK
AI Doubt Resolution Engine
An LLM-powered backend that reads incoming student doubts, classifies them, and answers instantly — escalating only the hard ones to live tutors over WebSockets.
Autonomous Bid Agent
A multi-platform agent that scans job boards, retrieves my matching experience via RAG, writes a tailored proposal AND a job-specific CV — automatically, around the clock.
FutureFunding
An AI-native quantitative research evaluation platform for Indian markets — traders run simulated NSE/BSE strategies while the system scores discipline, not just P&L.
SupplyIQ Invoice Processor
Drop in any supplier PDF and the AI extracts every line item, validates grade and price against the PO, and flags only what needs a human — all processed locally, so documents never leave the network.
HOW I HELP
Understand
I dig into your product and data before touching code. The best AI feature is the one your users actually need — I find it, scope it, and estimate honestly.
Build Fast
Working prototype in days, not months. Prompts versioned, outputs evaluated, edge cases handled. You see progress every week, in your product — not in slides.
Ship & Scale
Dockerized, tested (85%+ coverage), deployed with zero-downtime CI/CD. Then I monitor, tune costs, and keep it running while your users grow.

LET'S BUILD SOMETHING
INTELLIGENT.
AI backend roles, LLM product builds, or a consult on where AI fits your stack — my inbox is open.