$ initializing vishal.dev
AI ENGINEER · FULL-STACK DEVELOPER · 12+ YRS

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:~$

Vishal Kumar Gupta — AI Engineer
> scan.subject: human ✔ engineer ✔ ships ✔
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PythonLLM AgentsFastAPIRAGLangChain OpenAIClaudeVector DBsWebSocketsDocker PostgreSQLAWSRedisCeleryCI/CD AngularReactTypeScriptD3.jsStripe
01

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.

Vishal Kumar Gupta
VISHAL KUMAR GUPTA LEAD AI BACKEND ENGINEER CLEARANCE: PRODUCTION · STATUS: SHIPPING DAILY
class VishalGupta(AIEngineer):
  location  = "Noida, India 🇮🇳"
  experience = "12+ years"
  role       = "Lead AI Backend Dev"
 
  def superpower(self):
    # idea → prompt → pipeline → prod
    return "LLMs in production"
 
  def currently(self):
    return ["AI agents", "RAG", "scale"]
0+Years Engineering
0%Queries solved by my LLM layer
0K+Daily events processed
0%Peak latency reduction
02

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.

40% of student queries auto-resolved before human escalation
// stack behind it
OpenAI / Claude APIsEXPERT
Prompt EngineeringEXPERT
Python12+ YRS
FastAPIEXPERT
// also fluent in SQL C# / .NET Alembic JWT / OAuth2 RBAC Stripe ELK Stack Nginx Fly.io
03

SELECTED WORK

DoubtBuddy
DoubtBuddy · EdTech · LLM Backend

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.

40% of all student queries resolved with zero human touch · wait-time down 60%
FastAPIOpenAIWebSocketsPrompt Chains
doubtbuddy.com ↗
BOT
Automation · AI Agents

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.

Full pipeline: scrape → RAG match → LLM proposal → tailored CV → submit
LLM AgentsRAGChromaDBFlask
FutureFunding
FinTech · AI Quant Platform

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.

AI Risk Guard real-time drawdown prediction · behavioural analytics & AI trade journaling
PythonReal-time Market DataRisk ModelsPostgreSQL
futurefunding.in ↗
SupplyIQ
Supply Chain · Document AI

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.

847 invoices processed · 99.2% accuracy · under 15s per invoice
Document AILLM ExtractionPDF ParsingPython
supplyiq.algofolks.com ↗
04

HOW I HELP

01

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.

02

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.

03

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.

Vishal Kumar Gupta
GOT A PROJECT?

LET'S BUILD SOMETHING
INTELLIGENT.

AI backend roles, LLM product builds, or a consult on where AI fits your stack — my inbox is open.

+91 87430 45170 WhatsApp ↗ Noida, India Remote-friendly · Global clients
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