backend engineering · applied ai systems
building reliable software and learning how modern systems work end to end.
portfolio → santoshkumarbuilds.vercel.app
computer science graduate focused on backend engineering and applied ai.
i like understanding systems from first principles — how they are designed, how they behave under failure, and what it takes to make them reliable in production.
- building backend and ai systems from scratch
- getting deeper into databases, distributed systems, networking, and system design
- learning how to take llm applications from prototypes to reliable production systems
- improving my engineering fundamentals through projects and open-source work
backend engineering apis · databases · concurrency · caching · queues · distributed systems
applied ai llm applications · rag · agents · tool calling · evals · ai infrastructure
production engineering testing · observability · reliability · containers · ci/cd · cloud
full-stack building the interfaces needed to turn backend systems into usable products
languages python · typescript · go
backend fastapi · node.js · rest apis
frontend react · next.js · tailwind css
databases & data postgresql · redis · mongodb · pgvector
ai llm apis · langgraph · langchain · pytorch
infra & tooling docker · github actions · aws · kubernetes
- designing reliable backend systems and APIs
- database internals, transactions, indexing, and query performance
- distributed systems, concurrency, queues, caching, and failure handling
- retrieval, agents, evals, and observability for production llm systems
- cloud infrastructure, networking, and deployment
- system design from first principles
films · books · gym · running · travel · keeping up with new technology
email → santoshkumaraidev@gmail.com github → github.com/marsh15 twitter → x.com/santu_0101
building things, understanding how they work, and getting better every day.

