resume

MS in Computer Science (Human-Computer Interaction track)

Stanford University

• Relevant Coursework
  • Web development
  • iOS app development
  • Product design
  • Principled entrepreneurship

BS in Computer Science (Artificial Intelligence track)

Stanford University

• General Technical Coursework
  • Data Structures and Algorithms
  • Operating Systems
  • Computer Organization and Systems
  • Linear algebra and matrix methods
• AI Coursework
  • Computer vision
  • Natural language processing
  • AI principles and machine learning
  • Domain specific - healthcare AI and computational biology

Stealth Startup

Software Engineering Intern

• Full-stack development of a smartphone application for a stealth startup in the consumer social and mental well-being space
• Translating Figma designs into functional React Native components
• Building embedded AI application for enhanced user experience

Valar Labs (backed by a16z/Pear VC)

Machine Learning Engineer

• Created interpretable artificial intelligence pipelines to assist decision making for oncologists
• Led efforts to implement nuclei classification and segmentation models in PyTorch for computationally analyzing histopathology whole slide images
• Built end-to-end annotation and data ingestion workflow to facilitate supervised learning methods

Stanford Psychophysiology Lab

Research Assistant

• Used Arduino to construct and evaluate palatal PPG and microphone apparatus for nasal cycle detection
• Developed a pipeline to calculate loudness measurements and FFTs from collected nasal exhalation data

Adobe

Data Science Intern

• Worked with Adobe’s industry partners to develop a system for counterfeit retail item detection
• Used TensorFlow Lite and Swift to develop a computer vision-based app and presented project to the Senior Principal Scientist of the Adobe Media and Data Science Research Lab

ScrAPPS

Co-Founder

• Started a service to connect grocery stores and restaurants with compost sites via privately contracted haulers
• Created iOS app using Swift. Integrated a payment portal and Firebase backend for waste haul scheduling
• Successfully partnered with Whole Foods and California Pizza Kitchen to save waste from landfills

• Neo Scholar - Talent network and mentorship community led by Ali Partovi and Neo
• Pear Garage - 1/25 Stanford students selected to join a community for entrepreneurial engineering students to work on meaningful problems and build products to solve them

• Intel International Science and Engineering Fair - 3x qualifier, 2nd place in 2019, 3rd place in 2018, cancelled in 2020 due to COVID-19
• Regeneron Science Talent Search - Top 300 scholar in the nation’s most prestigious science competition