Connected YouTube users globally with high quality information related to health through YouTube Health Label and Health Shelf features increasing Global YouTube views coverage on Health topic by 35% YoY.
Developed a multi-task learning classifier adding dedicated regression and multi-label classification heads to effectively predict complex, correlated outputs.
Onboarded existing classifiers to new platforms, streamlining the process of training, managing, evaluating, and deploying machine learning models in the team.
Improved team's data serving infrastructure by unifying all YouTube metadata in a canonical repository, reducing the complexity of sharing metadata, and adding privacy and security measures.
Software Engineering Intern
YouTube
05.2020 - 08.2020
Completed literature review of 6 well-known algorithmic methods for spatiotemporal saliency detection.
Using C++, implemented a Spatiotemporal Saliency Detection algorithm utilizing the spatial and motion features of each frame of videos.
Generated saliency maps of videos that will be used to boost the quality of more salient regions and apply more compression to the non-important background regions in the video frames, saving bitrate.
Engineering Practicum Intern
Google Brain
05.2019 - 08.2019
Created a PoseNet library to abstract the complexities of the TensorFlow Lite Pose Estimation model.
Developed PoseNet Sample App to track human poses in real-time using Kotlin, Android development tools and open-source APIs like Camera2, TensorFlow Lite.
Completed entire development process, including writing a design doc, going through design reviews, prototyping a python script, implementing the PoseNet library and sample app, open-sourcing the app, and publishing a Medium article.
Undergraduate Student Research Assistant
Howard University
10.2018 - 05.2019
Developed Python script to collect unique tweets from the data collected by automatic summarization for data analysis.
Procured and grouped the tweets within the same geolocations using pigeo library.
Cleaned up Twitter data and trained geolocation detection model.
Education
Bachelor of Science - Computer Science
Howard University
Washington, DC
05.2021
Bachelor of Science -
Google Tech Exchange Program
Sunnyvale, CA
05.2020
Skills
Python
C
Java
SQL
HTML
TensorFlow
Android Studio
Mobile App Development
Kotlin
OpenCV
Figma
Unix
Testing and deployment
Cross-functional collaboration
Attention to Detail
Teamwork
Time Management
Problem-Solving
Adaptability
Comprehensive code review
Community Service
Mentored 6 students in Google Tech Exchange Program, providing guidance and support to develop professional skills and thrive in the tech industry.
Mentored 2 Software Engineering interns and an entry level Software Engineer, welcoming them at Google and helping them develop networking, teamwork, communication and technical skills.
Volunteered for tutoring in MindSET program at Tau Beta Pi- DC Alpha Chapter to help students with STEM projects.
Awards
Received spot bonus at YouTube for launching YouTube health features globally.
Received spot bonus at YouTube for improving team's data serving infrastructure.
Won 1st place among 30 participants for identifying and fixing the most bugs during code health improvement initiative at YouTube, which resulted in a 21% decrease in the number of bugs in the team codebase.
Awarded second place at Google's Virtual Coding Challenge for solving coding challenges with over 15 teams (40 students) competing.