Open to AI engineering roles· Mohali, Punjab, India
Hey, I'm Ritik Thakur
I design and ship AI-powered products: LLM chatbots, RAG pipelines, real-time agents and the FastAPI, React and Electron systems around them. 3+ years turning business problems into production software.
- Years building AI products
- 3+
- Projects delivered
- 14+
- LLM providers integrated
- 3
- Agents & real-time systems
- RAG
About Me
Ritik Thakur · AI Systems Engineer
I'm an AI Systems Engineer with 3+ years of experience building AI-powered automation platforms, intelligent agents and real-time monitoring systems. I work across the whole stack, from LLM orchestration and RAG pipelines to production APIs and polished interfaces.
AI & LLM Engineering
Chatbots, voice assistants, RAG pipelines and multi-LLM evaluation across OpenAI, Claude and Gemini.
Real-time & Automation
WebSocket and event-driven workflows, API automation, browser automation and large-scale web scraping.
Full-Stack Delivery
FastAPI / Django / Flask backends with React, Next.js and Electron frontends, shipped with Docker on AWS.
I like problems where a vague business need has to become a dependable system, and I care as much about evaluation, testing and deployment as the model call itself.
Experience
Software Engineer
iTechnolabs
Feb 2023 – Present
Punjab, India
Building production AI products for clients across healthcare, real estate, SaaS and enterprise — from LLM/RAG backends to the desktop and web apps on top of them.
AI & LLM systems
Integrated LLM chatbots, voice assistants and RAG workflows into production apps using FastAPI and LangChain.
Real-time & event-driven
Built real-time AI workflows and automation pipelines on WebSockets and event-driven architectures.
Desktop & monitoring tools
Shipped Electron.js monitoring and automation tools with AI-assisted system analysis.
APIs & full stack
Designed secure REST APIs with Django, Flask and FastAPI, paired with React / Next.js / Tailwind frontends.
Reliability & delivery
Refactored backends for scale, added unit/integration tests, and shipped via Docker-based deployments on AWS.
Client-facing
Translated business requirements into technical solutions, wrote documentation and joined client discussions.
B.Tech, Computer Science
Kurukshetra University, Haryana
2019 – 2023
Domains
My Skills & Tech Stack
The stack I use day to day to ship LLM-powered products: from RAG pipelines and agents to the APIs, real-time layers and interfaces around them.
Featured Projects
Production AI systems, automation pipelines and full-stack products — shipped for clients and built on my own time.
AI-powered self-healing system assistant. An Electron desktop app backed by FastAPI, LangChain and RAG that monitors a machine, diagnoses problems and resolves them automatically.
Multi-LLM compliance evaluation system. Runs regulatory documents through OpenAI, Claude and Gemini, compares accuracy across models and identifies the most reliable workflow for compliance validation.
Digital legacy platform that turns recorded video interviews into interactive conversations, so people can talk with a preserved presence.
Presentation coach that tracks voice, eye contact and hand gestures in real time and returns actionable feedback on delivery.
Upload a PDF and chat with it in real time. Content is extracted, embedded and semantically searched to return accurate, context-aware answers.
No-code chatbot builder: drag, drop and connect multiple chatbots, then deploy them without writing code.
Let's Build Something
Have an AI product, automation or platform in mind? Tell me about it and let's talk.
© 2026 Ritik Thakur