Dixit Jain · AI Engineer

I design and ship production AI systems.

Building production LLM agents, RAG pipelines, voice AI, and automation workflows for teams that want it shipped, not demoed.

Building Agentic AI_

Open for new opportunities

Selected Work

Systems built for scale.

Systems in production. Real products with real users - not weekend demos.

MarqHire AI screenshot
AI

Autonomous AI Hiring Platform

MarqHire AI

Enterprise hiring platform featuring advanced resume parsing and autonomous voice screening interviews.

Automated top-of-funnel screening

Voice AIATSReactNLP
Fly with Zara screenshot
Full Stack

Travel Booking Platform

Fly with Zara

Full-stack travel booking platform for flights, hotels, holidays, and visa services.

10K+ happy travelers

ReactNode.jsFull StackBooking API
Brandry screenshot
Full Stack

AI Website Builder for Small Businesses

Brandry

Describe your business in one sentence - Brandry builds a real, mobile-ready website instantly. No code, no designers, no jargon.

Instant website generation

Next.jsOpenAITypeScriptAI Generation
AgentFlow screenshot
AI

Multi-Agent Document Intelligence

AgentFlow

Multi-agent platform that turns complex business files into cited, verifiable executive briefs.

85% reduction in document review time

LangGraphMulti-AgentRAGFastAPI
OpenBrain screenshot
Open Source

Self-Hostable Open-Source Second Brain

OpenBrain

Capture reels, posts, links, and screenshots you save. Openbrain reads, summarizes, and lets you find them in plain language.

Natural language search over bookmarks

Next.jsVector DBLLMOCR
Wellnix screenshot
AI

AI Health & Wellness Platform

Wellnix

AI health platform combining motion analysis, real-time nutrition intelligence, and predictive wellness.

Real-time posture scoring

Computer VisionReactPythonAI Health

About

Systems that survivereal users.

Not a portfolio of demos. A record of AI systems designed, shipped, and still running in production.

Building production AI systems for businesses and clients worldwide. The standard has never shifted: execution over theory, shipped over demoed, systems that hold up when real users arrive.

01

Demos are easy. Production is the job.

Most AI projects die between the notebook and the deploy. I build the part that survives: evaluation, fallbacks, observability, and robust systems that behave when real users show up.

02

Business problem first, model second.

Every system I ship starts from an operational pain: leads rotting in an inbox, support queues on fire, knowledge trapped in PDFs. I work backwards to the smallest architecture that removes it.

03

Full stack, end to end.

Agent orchestration in LangGraph, retrieval on hybrid search, FastAPI backends, and React frontends. Complete AI solutions architecture, ensuring nothing is lost in translation.

Journey

From first committo production AI.

Every milestone below shipped something real. The throughline is systems that made it out of the notebook.

FoundationsBase

Engineering fundamentals

Computer science, Python, and the first neural nets. Learned why software breaks in production long before touching a single LLM.

Applied AIShipping

From notebooks to products

Moved past demos into deployed systems: retrieval pipelines, LLM integrations, and automation wired into real business workflows that people actually depend on.

Production scaleScale

AI systems in the wild

Multi-agent orchestration, production RAG at 85%+ retrieval accuracy, and local inference cutting costs 70%. Systems handling 1,000+ conversations a month.

ConsultingClients

Shipping production AI globally

Engineering solutions across industries: voice AI hiring platforms, CRM automation capturing 300+ leads monthly, outbound engines. 25+ systems live in production.

TodayNow

3+ years building production AI

Agentic systems, voice AI, and automation for teams worldwide. The bar never moves: it ships, it scales, it survives contact with real users.

Tech Stack

A living map,not a checklist.

Every tool I ship with, connected the way the work connects. Hover a node to trace its neighborhood, or grab one and drag it around.

drag nodes · hover to explore

AI Architecture

How the systemsactually think.

The anatomy of every agentic system I ship: a reasoning loop with tools, memory, and grounded retrieval, not a prompt in a trench coat.

Userquery · voice · event
AgentLangGraph orchestrator
ToolsAPIs · search · code
Memorystate · history
LLMreasoning core
Vector DBsemantic retrieval
Responsegrounded · cited

live data flow · every system i ship runs this loop

Contact

Let's build something.

Have an AI orchestrator, RAG system, or product workflow to design? Let's get in touch.

Or send a message

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