Shaan Khosla is a Director of Data Science based in the New York metro area with seven years of hands-on experience building NLP and machine learning solutions, including large language model applications. He blends research rigor from roles at the University of Miami and industry experience at Nebula.io and Bank of America to move models from prototype to production with tools like PyTorch Lightning, HuggingFace, and DeepSpeed. Shaan pairs technical leadership with a product mindset, evidenced by front-end contributions to the popular actualbudget app where he improved UX and data visualizations. He communicates complex ideas broadly—authoring articles, speaking at events like AI Catalyst and O’Reilly, and publishing a weekly NLP newsletter with 500+ readers. His NYU Data Science masters complements a double-major undergrad in Finance and Computer Science, enabling him to translate model insights into strategic business impact. Notably, he combines research, product, and community engagement to accelerate adoption of cutting-edge text technologies.
7 years of coding experience
7 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at New York University
Bachelor of Science in Business Administration (BSBA) Double Major in Finance and Computer Science Double Minor in Mathematics and Accounting, Bachelor of Science in Business Administration (BSBA) Double Major in Finance and Computer Science Double Minor in Mathematics and Accounting at University of Miami
Contributions:9 reviews, 8 PRs, 44 comments in 1 year 3 months
Contributions summary:Shaan primarily focused on enhancing the user interface and functionality of the "actualbudget" application. Their commits included modifying the React-based desktop client to incorporate features like tooltips, category autocompletion, and a schedule search bar. Furthermore, they implemented new reports visuals using Recharts, demonstrating proficiency in data visualization and component development within a personal finance application context. These changes significantly improved the user experience.
A now defunct website that was built to provide insights into data regarding a user's favorite songs/albums by visualizing data from the Spotify API as well as lyrical information derived from supervised learning ML algorithms.
Contributions:67 pushes in 4 years 9 months
apisupervised-learningsupervisedderivedsongs
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