First year MSR · CMU
Hi! I am a first year MSR student at CMU, where I am fortunate to be advised by Professor Shubham Tulsiani and Professor Deva Ramanan. I am broadly interested in robot learning and reinforcement learning, and understanding what makes their modern algorithms tick.
In a previous life, I worked on building foundational speech models at Smallest.ai and Gan.ai. Even before that I was at Microsoft Bing Travel make their visual content make people go WoW ❤️
During my undergrad I had the pleasure of working in various academic research labs and startups on topics ranging from Computer Vision, to NLP, finance, reinforcement learning. I was also involved in leading various undergrad research groups, focusing on Deep Learning, Core CS, Quantum Computing and Blockchain.
Professional stuff aside, I am a die-hard anime fan, an avid reader, wannabe Musician/Writer/Youtuber? lol (checkout my YT channel and Medium!) and a lifelong learner who’s always up for a good conversation.
Essays, paper explainers, and the occasional rant.
All postsThe one with the quarter-life crisis
Thoughts on a (hopefully) 40+ year career
Things I’ve built, mostly papers implemented from scratch and open-source contributions.

A minimal implementation of Tree Of Thoughts prompting

A minimal implementation of an advanced RAG techinque - FLARE

Implemented a basic diffusion model in pure JAX

Implemented a basic diffusion model in Pytorch

Contributed to integrating Kandinsky 2.1 into Huggingface 🤗, Diffusers 🧨

Contributed to integrating Consistency Models into Huggingface 🤗, Diffusers 🧨

Contributed to integrating BLIP-Diffusion into Huggingface 🤗, Diffusers 🧨

Implemented the paper Adversarial Discriminative Domain Adaptation in Pytorch

Implemented a Variational AutoEncoder (VAE) in Pytorch
A collection of short summaries of papers we read