About me
I am a Data Scientist with a robust and diverse technical background in AI and software engineering.
I completed my master's thesis at Harvard University, where I also worked on optimizing new deep learning models and data augmentation techniques to achieve higher performance and generalizability. I recently joined the best frontend team at FireworksAI, to which I am contributing from the San Francisco Bay Area.
What I'm doing
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Deep Learning (@Harvard)
Paper recently published on IEEE (ISBI 2024) with Harvard and MIT. New data augmentation techniques for higher generalizability and low-resolution robustness.
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Software (San Francisco, CA)
Leading a PoC with a vendor to develop an SDK for our product. Designed and implemented different feature flows and UI components on the front-end.
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Big Data and Data Analysis
Constructed a database of 100,000+ Spotify/LastFM users for Big Data analysis with PySpark. Used MLlib to predict recommendations for new users.
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Statistics
Developing a predictive model that forecasts the outcomes of coin flips – my model currently predicts "heads" or "tails" with 50% accuracy!
See All My Projects
Explore my complete portfolio of work and projects
