I build backend systems and write. Previously worked on Python, Go, real time communication, infra, and AI.

I'm currently looking for a new role. Reach out if you've got something interesting.

I'm currently focused on:

• Building a LSM tree db.
• Evals.
• Memory and profiling.

Check out my blog

• Getting to 150k conns on the real time leaderboard (Breaking the 28k barrier)
• Real time leaderboard with 28,232 concurrent SSE connections
• Optimizing Docker image builds for image size and build time
• Building a python package to turn unstructured data into financial insights
• Understanding Server Sent Events (SSE)

Released concall-parser a while ago, a python package to get structured features from earnings call reports. Made in collaboration with Jay Shah. My writing journey started with the blog describing why and how we built it.

• Real-Time Leaderboard

  Send ranking updates to 150k concurrent SSE clients using Go, Redis Sorted Sets, and Prometheus. Optimized Docker images(48x size reduction, 46% build time reduced), structured logs, and system metrics for observability. Tech: Go, Redis, Prometheus, Docker, Grafana, PostgreSQL

  Currently working on TCP tuning, horizontal scaling and other resource optimizations at a lower level.

• Multi-Tenant backend systems

  This is something I've worked on at my previous internship at Nector, building a multi tenant backend for a voice agent product. Tech: Javascript, Cloudflare (D1, Workers)

• Concall Parser (OSS Package)

  Python package to extract structured data from earnings call transcripts using hybrid regex + LLM. 480+ downloads. Built with test automation (pytest regressions) & CI on GitHub Actions. Tech: Python, LLMs, Regex, GitHub Actions

There's other stuff that I've done - worked on durable executions, MCPs, memory and Docker.

• Languages: Python, Go
• Frameworks: FastAPI, Gin, Celery
• Infra & DevOps: Docker, AWS, GitHub Actions, Prometheus, Grafana
• Databases: MongoDB, Redis, PostgreSQL

• Languages: Javascript
• ML/Data: PyTorch, Keras, Weights & Biases, Scikit-learn, SpaCy, PyTorch Geometric, Tensorflow
• Data Pipelines: Airflow, Kafka
• Databases: Cloudflare D1

I write about building AI tools, scaling real-time systems, and the innumerable sidequests I do.

• Blog
• LinkedIn
• Email
• Twitter
• Portfolio

I keep a list of blogs and discussions I found interesting/learned from at this post.