I'm Adithya, a CS grad student at the Johns Hopkins University.
Presently, I'm researching on leveraging emergent sparsity in LLMs with Dr. Burns to optimize inference.
I'm reachable via my LinkedIn or my email: vgadham1 at jhu dot edu.

Aside from the professional stuff, I love playing multiplayer video games, reading novels/manga and ricing my Arch Linux configuration! :D

Reverse Chronologically, I've done the following (excl. personal projects),

• Research at Johns Hopkins University
  • Under Dr. Randal Burns, I'm building a sparse matrix workloads dataset to support SpMM kernel performance benchmarking for LLMs. The data for the instances are retrieved from popular (zero order/first order/second order) pruning strategies.
  • Under Dr. Soudeh Ghorbani, I worked on investigating microbursts via OMNeT++/INET simulations for Meta's DCNs.
  • Course Assistant for the Blockchains & Cryptocurrencies course taken up by Dr. Matthew Green.
• Data Engineer at Bajaj Markets
  • Had an amazing team to work with; spun up the DRIFT framework to orchestrate over 500+ jobs for BI Reporting, Data Analysis, and DWH construction.
  • Revamped the offer generation pipeline to concurrently process 30+ million customers, using Parquet, AWS S3, Celery, DuckDB and Python.
  • Created interfaces for data analysts and SQL BI teams to create data transformation jobs. These jobs could be tracked, scheduled, and provided notifications on completion.
• Research at VIT AP
  • Under the guidance of Dr. Rohit Kumar Das, I've presented the impact of Intelligent Systems in Advanced Networks at the I2CT conference in Pune, India, and published a paper on Automated Station Migration in SDNs in the Journal of Supercomputing.
• President of the Open Source Community at VIT AP
  • I've been part of and led the development of three open source projects, 50+ events and 3+ initiatives during my time as an undergrad.
  • Set up a pretty awesome foundation for the future generations of the club. Now they've got their own aesthetic going on for them.

Sometimes, Hugo is just too cool to pass up, so I used it and made a website for myself. It provided the feature set of a blog too, and since I wanted to log my work, it checks out. Here's my website!

Hit me up on the topic of wuxias, light novels, or manga, and I'll mostly have recommends.
Always Reading: The Wandering Inn

I do like recommending stuff, wanna try some out?