Mar 2022 – Feb 2025 · 2 yrs 11 mos · Redmond, Washington, United States

• Copilot Stack: Azure AI Speech

May 2021 – Aug 2021 · 3 mos · Redmond, Washington, United States

• Computer Vision Azure AI Platform Team
• Analyzed user journey for Image Analysis Service and constructed spec sheet both highlighting friction/pain points and outlining improvements for marketing, pricing, instructional, and documentation pages
• Implemented changes with marketing/engineering teams to significantly boost SEO, retention, & conversion metrics
• Devised a data collection pipeline for Spatial Presenter product to allow engineering and research teams to legally and respectfully collect audio/video data from customers for debugging and diagnostic purposes

Aug 2021 – Dec 2021 · 4 mos · San Francisco, California, United States

May 2021 – Dec 2021 · 7 mos · Berkeley, California, United States

Jan 2021 – Apr 2021 · 3 mos · Berkeley, California, United States

Aug 2020 – Dec 2020 · 4 mos · Berkeley, California, United States

Mar 2021 – May 2021 · 2 mos

Jan 2021 – May 2021 · 4 mos

Aug 2020 – Dec 2020 · 4 mos

• Worked with item authentication start-up Veracity Protocol to analyze the robustness of their products and develop a plan for Search Engine Optimization (SEO)
• Delivered a report to the company fully analyzing the current standing of their SEO, and offering many actionable solutions to increase their rankings in search engines

Jan 2020 – Jul 2020 · 6 mos

• Worked with social media marketing start-up Sprinkles to promote their app within the Berkeley community
• Pitched the app to different restaurants around the city, building partnerships with them to both help grow the app and increase customer traffic flow to the restaurant

Jan 2021 – May 2021 · 4 mos · Berkeley, California, United States

Aug 2020 – Dec 2020 · 4 mos · Berkeley, California, United States

• Trained computer vision model to detect and count the number of cars, buildings, and trees in an aerial video feed
• Studied different neural networks and CV libraries to implement deep learning techniques for object detection

May 2020 – Aug 2020 · 3 mos · San Francisco Bay Area

• Ideated and developed a ‘Two-Way Marketplace Blueprint’ app using Adobe XD, Crowdbotics App Builder, React Native, and JavaScript, creating a platform for dozens of projected enterprise clients to customize their own apps
• Presented weekly to PM and SWE teams to provide key feedback regarding the current state of company products, addressing crucial pain points, identifying areas with need of improvement, and writing JIRA tickets for updates
• Created video tutorials and wrote articles to teach customers about using the product and general app design

Jan 2020 – May 2020 · 4 mos · San Francisco Bay Area

• Led team of 5 students towards developing efficient QR code scanning/tracking system that company used to track their orders, drivers, and containers, significantly speeding up the previously manual process from hours to minutes
• Developed app in Android Studio using Java and Kotlin for the functionality, XML for the UI, SQLite for the local internal database, Zxing API for QR-scanning functionality, and Google Maps API to access mapping information
• Continuously stored/updated data in Cloud Firestore on Firebase to allow realtime updates across devices/accounts

Aug 2019 – May 2021 · 1 yr 9 mos · Berkeley, CA

• ∙ Help students with labs, homework, and understanding of Data Science, Statistics, and Software Engineering concepts for CS C8 "Foundations of Data Science" class
• ∙ Teach students the fundamentals of Python programming and how to create different statistical analyses of datasets

May 2019 – Aug 2019 · 3 mos · Oakland, California, United States

• Developed a Data Analysis Toolkit using SQL to begin automating the process of evaluating customer fit onto our Machine Learning Predictive ETA Software, having been used on 3 Enterprise customers and > 10 Logistic Service Provider customers, drastically reducing manual workload for internal Product Support teams from days to minutes
• Conducted competitive analysis and research on shipping consortiums, identifying key areas for strategic alliances
• Provided key deliverables to multiple levels of the organization (product management, software engineering, and data science teams) to drive forward Machine Learning initiatives

Dec 2018 – Aug 2019 · 8 mos · San Francisco Bay Area

• ∙ Designed and developed a consumer platform to reduce the friction between hard cash and digital banking
• ∙ Self-incorporated and placed within top 15 in UC Berkeley’s Trione Student Venture Fund for $5,000 grant

Sep 2017 – Jan 2018 · 4 mos · Princeton, New Jersey

• ∙ Tutored for standardized tests and high school courses, resulting in significant increases in students’ scores and grades, and receiving requests for continued private personal tutoring

Jul 2017 – Aug 2017 · 1 mo · Cambridge, Massachusetts

• ∙ Developed autonomous cars during the fully sponsored Beaver Works Summer Institute program and was among 98 students selected nationwide
• ∙ Used LiDAR sensors and cameras to implement computer vision algorithms and autonomous control systems to control the car around a track filled with various obstacles, leading team to 1st place in Time Trials & Grand Prix

Sep 2016 – Dec 2017 · 1 yr 3 mos · Skillman, New Jersey

• • Designed software for drowsy-driving detecting device using computer vision, leading team to becoming 1 of 35 National Excite Award Finalists in Lemelson-MIT program for $10,000 grant