Vik Paruchuri is a founder and developer based in New York with 13 years of experience building production ML systems, developer tools, and education products. He co-founded Dataquest, helping scale interactive data-science learning to a large user base, and now leads Datalab while building open-source AI tools and models. His hands-on work spans model engineering (including a from-scratch GPT implementation), DevOps and deployment (Slack bots and infrastructure for ML APIs), and data science projects that reflect both research and product focus. Earlier accomplishments include prize-winning Kaggle algorithms and an edX automated essay grader that reached national attention, and an unusual early career as a Foreign Service Officer, reflecting a blend of technical depth and real-world perspective.
Go from no deep learning knowledge to implementing GPT.
Role in this project:
ML Engineer
Contributions:151 commits, 15 PRs, 115 pushes in 3 months
Contributions summary:Vik's contributions primarily focused on improving the performance and functionality of a GPT implementation within a deep learning project. The commits show the user refining the algorithm, working on a working network implementation, and fixing issues related to the ReLU activation function. These modifications involved coding in linear algebra with Numpy and debugging, demonstrating a focus on improving model training and performance.
Contributions:16 commits, 2 PRs, 7 pushes in 9 months
Contributions summary:Vik primarily focused on configuring and deploying the apartment-finding Slack bot. They updated the `settings.py` file, likely for configuration, and modified the `scraper.py` file to adapt the Craigslist scraping functionality. Additionally, the user made changes to deployment scripts (`deploy.sh`, `setup_scraper.sh`), indicating a focus on setting up the infrastructure and CI/CD pipeline for the bot. They also made several functional improvements like including more areas and neighborhoods for the application.
slackbotslack-botapartment
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