Nithin Bharathi
About
I have a graduate degree in Computer Science. My research focused on using RAG to improve code completion in private codebases. Previously, I worked as a Software Engineer at Odessa Inc.
I’m currently looking for software engineering opportunities.
Experience
Odessa Inc. - Software Engineer II
I worked on the core data migration infrastructure and internal developer tooling, building reliable systems for large-scale data movement and contributing across performance optimization, product features, and production fixes.
Projects
See my Github profile for my open-sourced code. Here are a few of my recent projects:
- A Character level language model trained on Eminem lyrics for rap generation.
- A linear algebra package for Java
- An in-memory key-value store implemented in C
- A reverse automatic differentiation engine in Python for scalar arithmetic
Misc Links
The following are a collection of technical links that I have found to be interesting.
- Jeff Dean’s talk on google’s infrastructure Technology at Google and techniques for reducing response times in large scale distributed systems Achieving Rapid Response Times.
- Distributed Systems: An interesting course that covers case study’s about the various system architectures in use.
- We all love to write fast code and this course Performance Engineering of Software Systems helped me understand the concepts involved in writing high performance software.
- LSM: Everything you will need to understand about the widely used Log Structured Merge Trees.
- Andrej Karpathy’s wonderful Neural Network: Zero to Hero collection. I would highly recommend this playlist to anyone looking to get started with deep learning.