I'm Karan — a senior AI full-stack developer with 8+ years shipping fast, scalable products. React on top, Python & Go underneath, and AI/LLMs woven through the middle. One engineer, the entire build.
I'm the engineer founders call when they want the whole AI product built — not just a slice of it.
Over 8+ years across Canada and India, I've shipped full-stack products end to end. Right now I'm a senior developer at Labcorp, building AI-powered apps with React on the front, Python, Go and Java on the back, and ML/LLMs running through the middle.
I hold a Master's in Software Engineering from Concordia University, Montreal, Canada, and I care about the things that make software last: clean architecture, real performance, and shipping. I also document everything and mentor the team, so projects keep moving after I'm gone.
What that means for you: one person who takes an AI idea from a blank repo to a deployed, scalable product — without juggling five contractors.
Whether you need a whole product or one missing piece — here's where I help, and who each is for.
Complete web apps with AI built in — React/Angular front end, Python/Go back end, LLMs in the middle. Designed, built and deployed by one person.
For founders who want a whole product, not a pieceRAG pipelines, AI agents (LangChain & LangGraph) and GPT-powered features that actually ship and hold up in production.
For teams adding AI to an existing productREST & gRPC microservices with caching, async and clean architecture. On one team I cut API response times by 65%.
For products fighting slow, tangled backendsTensorFlow, PyTorch & Scikit-learn models wired into real apps — predictive analytics that lives in your product, not a notebook.
For data-rich businesses that want models liveAWS & GCP, Docker, Kubernetes and automated pipelines that make deploys boring — the good kind. Auto-scaling, observability and rollbacks included, so shipping stops being scary.
For teams that need reliable, repeatable shippingA clear, no-drama path — you always know what's happening and what's next.
We map the product and pinpoint where AI actually earns its place — no AI for AI's sake.
Full-stack, end to end: the UI, the services, the models and the infrastructure around them.
Tested, documented and deployed with CI/CD. No loose ends, no "works on my machine".
I mentor your team and leave clean docs, so the product keeps moving without me.
Two roles where I shipped real results — the problem, my approach, and the outcome.
The technologies I reach for — from the pixel to the model to the cluster.
Front end, back end, AI and infra — one person, fewer hand-offs, faster shipping.
Not just prompts — ML models, RAG and agents, plus the systems to run them in production.
50× more data, 65% faster APIs — I've solved the real performance problems, not the toy ones.
I mentor (10+ devs and counting) and document everything — I leave your codebase better than I found it.
Got an AI idea, or a product that needs an engineer who can do it all? Tell me about it — the first call is on me.