Adarsh P
Software Engineer at Meta
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAdarsh P is a seasoned software engineer with 12 years of experience, currently working on Instagram Ranking & Relevance at Meta and pursuing an MS in Computer Science at Columbia. He blends strong ML research interests—especially in NLP and reinforcement learning—with practical product delivery, having shipped LLM-powered features at Epic and multimodal/low-shot solutions during Meta internships. A full-stack contributor, his GitHub history spans backend OAuth work, Flask APIs, front-end projects, and Q-learning experiments for Udacity, reflecting both production-grade engineering and teaching-oriented code. He co-founded a startup as CTO and led engineering programs at UC Irvine, demonstrating leadership in building systems that scale and in mentoring peers. Based in San Francisco and active in environmental causes, he pairs curiosity-driven learning with a track record of measurable impact on efficiency and user-facing metrics.
12 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia UniversityMonta Vista High SchoolUniversity of California, Irvine
English, Spanish, Hindi
Github Skills (23)
api-rest10
javascript10
bootstrap10
python10
apidoc10
api-design10
restful-api10
css10
http10
machine-learning10
flask-ask10
api10
html10
rest-api10
jupyter-notebook10
Programming languages (5)
Github contributions (5)
udacity/machine-learning
Nov 2016 - Apr 2018
Content for Udacity's Machine Learning curriculum
Role in this project:
Data Scientist
Data ScientistContributions:94 commits, 74 PRs, 92 pushes in 1 year 5 months
Contributions summary:Adarsh appears to be making contributions related to a machine learning curriculum, specifically within the context of a smart cab simulation and digit recognition. The commits involve updating simulation code and agent functionalities, including comments, to address learning in a Q-learning model. Additional commits include updates and note additions to Jupyter notebooks focusing on the smartcab and digit recognition projects, including implementing a Q-Learning model, and documenting Keras use.
machine-learning
udacity/ud036_StarterCode
Jul 2015 - Jul 2016
Starter Code
Role in this project:Front-end Developer
Front-end DeveloperContributions:7 commits, 6 pushes, 1 branch in 1 year
Contributions summary:Adarsh focused on the development of the front-end user interface for a movie trailer website. Their contributions included initial setup, layout adjustments, and incorporating Bootstrap for responsive design. They implemented the basic HTML structure, CSS styling, and JavaScript interactions to display movie information and launch trailers within a modal.
starter-code
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