Maya M. Email & Phone Number

San Francisco, California, Us

- Executed an advanced map script to source grocery store layouts, empowering shoppers with intuitive store navigation tools-Developed a distance-ordered shopping list feature, resulting in a remarkable 27% reduction in average shopping time, from 26 min to 19 min-Spearheaded the creation of an Item Availability Score Spark job in collaboration with the Catalog Intelligence ML team, optimizing item availability data for better customer experiences- Led a project that harnessed the Item Availability Score to prioritize available items within the Uber Eats app, leading to a notable 0.2% increase in item found rate, further enriching user satisfaction.

San Francisco, Ca, Us

Home Timeline ML Systems: - Determined areas in Home’s ML systems to increase new and light users quality of tweets - Launched the experimentation of Home’s graceful degradation system to enhance the experience of new and light users

San Francisco, Ca, Us

Live Video Services & Twitter Spaces: - Launched admin actioning support for Spaces - Increased the health of the Spaces product by speeding up agent actioning by 7x - Spearheaded the refactoring of the Spaces’ visibility pipeline for the Ukraine-Russia War, and other major events on the platform - Implemented over 7 features for Spaces: recording, private spaces, scheduled spaces, etc.

San Francisco, Ca, Us

Architected API development for profile redesign of the Periscope app

San Bruno, Ca, Us

- Contributed to Web development on Youtube Music- Increased user sign ups for YTM Web by 3% with feature launch- Integrated reporting system to track & remove inappropriate music and videos

San Francisco, California, Us

Mountain View, Ca, Us

- Interned on the Site Reliability Engineering Team- Implemented a infrastructure tool to organize over 500,000 Virtual Machines Integrated cloud automation to increase efficiency of tool- Collaborated closely with two teams: VmWare and Ganeti

Chicago, Illinois, Us

New York, New York, Us

Taught computer science to 20 high school girls at Adobe Inc. San Francisco. The curriculum, created by the the national nonprofit Girls Who Code, who's goal is to close the gender gap in computing. I taught several programming languages such as, Javascript, HTML/CSS, Python, C, Bootstrap. As a Teaching Assistant I engaged heavily in answering questions, taught lectures, debugged code. I supported students in and out of the program, encouraging participation in class and helping them explore different paths within technology .Majority of students had no prior experience to programming, but ended the program after developing their own software project to solve problems in their lives.

New York, New York, Us

• One of 20 girls chosen to participate in a computer science program sponsored by Electronic Arts, Inc.• Over 250 hours of intensive computer programming learning Javascript, Python, JQuery, HTML, CSS, and JQuery Mobile• Worked on mobile applications, web design, graphics and animation, data structures, robotics and algorithms and entrepreneurship.

Bachelor Of Science (B.S.), Computer Science

Education record