Sandeep Singh
Sandeep

Sandeep Singh

Backend & AI Engineer

About me

Not just an engineer.
A builder with taste.

I started writing Android apps in 2012, back when smartphones were still surprising people. Over 13 years, I've crossed every frontier: iOS, React Native, full-stack web, and now Python-powered AI systems built for production.

Most backend engineers have never led a mobile product from zero to production. I've done it across five platforms. That changes how you build. You stop theorizing about failure modes and start designing around them. Edge cases stop being hypothetical when you've lived through a 3am production incident.

Today I architect LLM-powered backends, RAG pipelines, and semantic search systems using Python, FastAPI, and OpenAI/Azure OpenAI APIs. The decade on mobile gave me something most backend engineers never develop: genuine user instinct. I build for the person on the other end, not just the spec.

Sandeep Singh
Available
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What drives me
01

Performance is a feature

Fast, scalable, and fault-tolerant by design, not by accident. I've seen what happens when systems aren't built that way.

02

AI as core, not garnish

I build systems where LLMs do real work: RAG pipelines, intelligent APIs, semantic search. Not chatbot wrappers slapped onto existing products.

03

User instinct from mobile

13 years shipping to real users gives you a lens most backend engineers never get. I never forgot who's on the other end of the API.

04

Honest evolution

Android in 2012. RAG pipelines in 2025. I go deep on what's next but I don't abandon what still works.

Fun facts
โ˜• Fuelled by espresso, not energy drinks
๐Ÿ“ฑ Shipped mobile products across 5 platforms: Android, iOS, React Native and more
๐ŸŒ Collaborated with engineering teams across 3 continents
๐ŸŽฏ Can context-switch Python to Swift without flinching
๐Ÿ“š Always reading 2 or 3 technical books simultaneously
๐Ÿ› ๏ธ Strong believer in boring, proven tech for critical paths
FAQs

Yes. I'm open to Technical Lead, Staff Engineer, or Principal Engineer roles focused on backend and AI engineering particularly teams building LLM-integrated products, RAG systems, or AI infrastructure that ships to real users at scale.

Selectively. I take on consulting for AI system design, RAG architecture, and backend scaling where I can drive meaningful impact, not just bill hours.

Python and FastAPI for APIs, LangChain or LlamaIndex for RAG pipelines, PostgreSQL with pgvector or Pinecone for vector storage, and Node.js where real-time or event-driven architecture makes sense.

Remote-first by preference. Open to hybrid arrangements in select cities. Relocation is on the table for the right role and the right team.