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Pranav Pabba

Currently trying to learn how CUDA and GPUs work.

CS @ UMich · ML enthusiast

Work

Experience

May 2025 - August 2025

SDE Intern · GoDaddy

  • Built a cross-system lineage graph across AWS Athena/Redshift by ingesting SFMC, MessageGears, and internal APIs; scanned tens of thousands of campaigns and produced hundreds of thousands of campaign→table mappings.
  • Created a table-value attribution model linking campaign impact metrics to underlying tables, ranking datasets by downstream influence to guide maintenance, deprecation, and cost/retention decisions.
  • Developed scoring formulas and lightweight AI heuristics to quantify “value per GB/compute,” surfacing high-leverage tables and eliminating low-yield data paths.
  • Implemented an MCP server powering an internal data-hydration tool, enabling non-technical ops to define and schedule validated hydration jobs for reliable downstream use.
AWSAthenaRedshiftSFMCMessageGearsAPIsMCP
June 2023 - August 2023

Python Development Intern · Intentwise

  • Built an NLP-based feature into Intentwise’s advertisement-optimization platform for Amazon sellers, boosting keyword-generation capabilities and overall ad efficiency.
  • Developed scalable data-processing pipelines to handle large datasets for keyword analysis.
  • Integrated the keyword-generation feature into the existing Intentwise SaaS platform with seamless interaction across existing modules.
PythonSQLSpaCyNumpyPandasTFX
July 2022 - October 2022

Web Development Intern · Exemplifi

  • Collaborated with a team of 20+ developers and designers to launch the www.acronym.com enterprise website.
  • Built 10+ custom WordPress widgets and plugins to meet specific client requirements.
  • Developed responsive components ensuring compatibility across devices and screen sizes.
HTMLCSSJavaScriptWordPressTailwind

Projects

About

I'm currently (and will forever be) a student at UMich studying CS, with particular interest in ML, educational technology, language, and blockchain/smart contracts.

I love playing around with ideas — one of my recent projects has been combining arithmetic coding with the output LLM softmax layer for natural steganographic transmission over mediums like ham radios, where encryption is apparently banned.

I've also been messing with zk-SNARKs, and I made a zero-trust version of Battleship in Solidity, which has been a ton of fun.

My meat and potatoes, however, have been ML. I've been super keen on MI and the stuff that the teams at DeepMind and Anthropic have been putting out — lately I've been poking at attention heads and small-model circuits with TransformerLens. I feel it would be super cool if we could understand the inner workings of these models to the point where we can optimize, consolidate, and segment their thought processes — untangling a mess of wires into clean bundles. We're not particularly close to that, but I'm hoping we get there soon.

On the non-technical, I'm kind of all over the place. I'm a huge sci-fi fan (check out The Diamond Age — it's my default niche sci-fi recommendation), especially in the form of short stories. I speak Japanese and enjoy learning about the culture and the history (the Meiji Period is fascinating). I've been trying to get my words out on paper, and so I've been writing on my Substack. It's mainly been a mash of CS, metaphysics, ethics, and political science, but if that interests you, you might enjoy my ramblings. Lately, as a result of my regret for not playing an instrument during high school, I'm trying to learn the piano, and I'm about as bad as I expected. All in the name of trying!