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OSAMA YOUSUF
Aspiration Statement
“I aspire to transfer my passion and expertise in problem-solving towards a position within the domain of Artificial Intelligence and/or Software Development. I am also passionate about Data Science and UI/UX design. In the long run, I see myself assuming a senior leadership role in a tech firm.”
Core Skills
- Python, C++, JavaScript, React-TS, and C
- Expertise in building AI-powered end-to-end web applications using modern technology stacks - examples include Django, Tensorflow, Pytorch, AWS, MySQL, PostGreSQL, GraphQL, REST API & React-TS
- Certified Data Analyst & Data Scientist - Datacamp.com
- Technical Writing
- Certified Digital Marketer through Google
- Object-Oriented Programming (OOP
- Mobile Game Development
Academic Awards / Achievements
- Doctor of Philosophy [PhD] in Computer Engineering - The George Washington University School of Engineering & Applied Science
- High Academic Achievement Award (Awarded twice)
- HU TOPS 100% Scholarship
- President’s List Award (3 times, consistently from second year)
- Dean’s List - (6 times, consistently from second semester)
Experience
Leadership / Meta-curricular
- Physics and Astronomy Club (PAC) - Chief Executive Officer
- HUMUN ’17, TEDxHU’17, Code.Play(), OMICRON ’17 and HUCon ’18 - Organizer
- Club Tachi (videogame club) - Technical Officer
- HPAIR USA Technology & Entrepreneurship Delegate - Winter 2019 - Harvard University
- Research Internship Award at TAMU - Celebrating Excellence 2019
- International Honor’s Program -Summer Semester - Stanford University - Summer 2018
Internship / Volunteer Work
- Research Associate - National Institute of Standards & Technology [NIST] (Jan 2022 - Present)
- Graduate Research Assistant - The George Washington University (Jan 2021 - Present)
- Frontend Engineer - Stellic (Aug 2020 - Jan 2021)
- Analyst Software Engineer - Afiniti (Mar 2020 - Aug 2020)
- Texas A&M - Research Intern
- Runway Radio - IT Manager
- Habib University - Peer Tutor and Teaching Assistant
Publications / Creative Projects
Final Year Project
Project Title
Personalized Outfit Recommendation System
Description
One of the biggest problems in fashion retail is product curation. Retailers have to spend a large amount of time to come up with different combinations of their products that would as a whole, go well as an outfit, and even then, the options aren’t really personalized. Our solution is a web and mobile application that allows shoppers to visually search the catalogue of an e-commerce store by uploading pictures of outfits they like or taking a photo with their phone’s camera. Using AI, the outfit is broken down into its constituent parts (e.g. shirt, pants, belt, & sneakers) and identical and/or visually similar items from the store are shown at the same place. This allows shoppers to quickly and conveniently shop for items they see on social media, significantly increasing conversion rate. (Group Project)
Project Pictures
