San Francisco, California, United States
Hey there. Thanks for visiting my little corner of the internet. I'm a software developer in Silicon Valley, with a neurology research background. Always happy to get on a call to discuss interesting projects/ventures, or if you want to debate the best sushi in town. Cheers.
Glass is a Silicon Valley e-Commerce startup revolutionizing how governments buy. Our product —Glass Commerce— powers government marketplaces for small purchases, an $800 Billion market in the US and $3.7 Trillion globally. We’ve helped government agencies procure over 5.5 million items in record time and have been featured on Bloomberg News, shortlisted in SXSW's Top 5 Startup of the Year, and ranked in GovCIO's Top 10 e-Governance Solutions.
• Revamped the company software platform with React.js and Next.js in fast-paced work environment with a developer team of 9; improvement for initial load times and performance up by 25%. • Designed, developed, and maintained RESTful APIs using frameworks like Express, as well as GraphQL APIs with Apollo, facilitating efficient data exchange and enabling flexible querying. • Implemented automated testing workflows using Jenkins CI/CD pipelines to seamlessly integrate Cypress end-to-end tests into the development process
(For winter quarters— Dec. 2021, and Dec. 2022) • Designed and optimized the back-end API endpoints, enabling efficient communication between the front-end and the pharmacy database. • Implemented an efficient data pipeline for drug database updates, utilizing Python and SQL to automate data extraction, transformation, and loading (ETL) processes, resulting in a 40% reduction in update time. • Collaborated closely with pharmacy experts and UX designers to ensure that the React-based UI components translated complex medication workflows into intuitive user experiences.
• Implemented machine learning to automatically segment Amyloid-β protein brain tissue, increasing efficiency in diagnosing neuropathology (published). • Contributed to the development of an AI-based algorithm based on the analysis of tau proteins in peripheral tissues; achieved an accuracy rate of 90% and improved early detection of the disease. • Investigated and annotated cerebral amyloid (CAA) for deep learning, thus improving the identification of that pathology.
• Managed weekly support group meetings with 20+ members and led non-judgmental culture sessions on practical communications and caregiver self-care practices. • Presented educational workflows on disease progression and clarified myths surrounding the infamous disease. • Conducted in-depth interviews with 50+ senior Alzheimer's patients and families, resulting in a 30% boost in patient satisfaction and caregiver retention.