Software Engineer Β· Backend Β· Distributed Systems Β· AI Infrastructure
I like building things that talk to other things.
Currently interested in:
backend systems
βββ Python / FastAPI / Django
βββ REST APIs & microservices
βββ PostgreSQL / Redis
βββ async workers & event-driven systems
βββ Docker / Podman / Kubernetes
βββ observability, testing & system design
AI engineering
βββ LLM applications
βββ RAG
βββ Model Context Protocol (MCP)
βββ AI agents
βββ developer tooling
I enjoy understanding how systems work underneath the abstractions β networking, databases, queues, containers, APIs, retrieval systems, and distributed services.
learning = {
"backend": [
"FastAPI",
"Distributed Systems",
"System Design",
"PostgreSQL",
"Redis",
"Celery",
],
"infrastructure": [
"Linux",
"Docker",
"Kubernetes",
"AWS",
"CI/CD",
"Observability",
],
"ai": [
"RAG",
"LLM Systems",
"MCP",
"Agentic AI",
"AI Infrastructure",
],
}Worked on MCP-based developer tooling and documentation retrieval systems.
Things I've explored:
- MCP servers & tools
- tool discovery
- document retrieval
- search pipelines
- BM25 / information retrieval
- LLM-assisted developer workflows
- API integration
A backend-heavy healthcare management platform.
React
β
βΌ
REST API
β
βΌ
Django / DRF
β
βββ PostgreSQL
βββ Redis
βββ Celery
Built around:
- 20+ REST APIs
- JWT authentication
- RBAC
- asynchronous background jobs
- PostgreSQL
- Redis
- React dashboards
A lot of my learning happens by building small experiments.
"How does this actually work?"
β
βΌ
build it
β
βΌ
break it
β
βΌ
debug it
β
βΌ
understand it
Some areas I experiment with:
- API performance
- caching
- authentication / authorization
- database indexing
- background workers
- containers
- Kubernetes
- search & retrieval
- LLM applications
- distributed systems
ββββββββββββββββββββββββββββββββββββββββ
β BACKEND ENGINEERING β
ββββββββββββββββββββββββββββββββββββββββ€
β Python β FastAPI β PostgreSQL β
β Redis β Celery β Microservices β
β Linux β Docker β Kubernetes β
β AWS β Distributed Systems β
ββββββββββββββββββββββββββββββββββββββββ
ββββββββββββββββββββββββββββββββββββββββ
β AI ENGINEERING β
ββββββββββββββββββββββββββββββββββββββββ€
β LLMs β Embeddings β RAG β
β Retrieval β MCP β Agents β
β Evaluation β AI Infrastructure β
ββββββββββββββββββββββββββββββββββββββββ
I want to spend more time contributing to open source rather than only building private projects.
Interested in contributing around:
- Python
- Linux
- FastAPI / Django ecosystem
- developer tooling
- containers
- Kubernetes
- AI infrastructure
- search / retrieval systems
PRs, issues, discussions and interesting projects are welcome.
building > talking
reading > scrolling
debugging > guessing
ββββββββββββββββββββββββββββββββ
β keep building. β
ββββββββββββββββββββββββββββββββ
