• Built waste tracking system that automates tedious reporting processes using Next.js, React.js, Firebase, and GraphQL• Integrated in 45 schools (2K+ users) in California, expanding to 200 more schools across the nation• Collaborated with the EPA in order to connect with their nationwide waste tool, Energy Star Portfolio Manager

• Utilized Numpy, Sklearn to create a ML algorithm to predict rising sea levels with 97% accuracy from glacier data• Modeled stress rates of ice sheets in relation to global warming and rising sea levels• Paper published at NeurIPS 2022 Workshop: Tackling Climate Change with Machine Learning

• Used Tensorflow and other ML techniques to predict Greenhouse Gas Emissions of Power Plants from Space• Created novel computer vision algorithm to identify and segment power plant smoke plumes• Advanced smoke plume segmentation capabilities in plants globally through U-Net architecture• Integrated work with overall pipeline, providing a pathway for more accurate emissions measurements

• Built various ML solutions to medical challenges working alongside Cambridge clinicians, data scientists, and MIT lecturers• Employed TensorFlow, Keras in ML algorithms detecting breast cancer, sleep states, COVID-19 with 90%+ accuracies• Mentored 12 teams creating ML prognosis models for diseases including Alzheimer's, Parkinson’s, MS, brain tumors, lung cancer

• Worked with CEO and Head of Engineering to simplify user onboarding flow to reduce user drop-off rates• Overhauled website before investor meeting, helping company raise $3 million in seed funding• Built custom Shopify integrations for numerous clients, work has reached 6M+ customers and saved 1M trees• Worked with various brands including HydroFlask, Kohls & Mossy Bottom to build and launch custom landing pages to promote eco-friendly awareness