Muhammad Hamza
NUST
· 2026
Email
muhammadhamzam1486@gmail.com
Phone
923421798786
GitHub
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Academic
Program
BSCS
CGPA
3.71
Year
2026
Education
SEECS
Address
H-12 NUST Hostels Attar 1 Room No. 303 , Islamabad , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Git, JavaScript, Node.js, Golang, PostgreSQL, MySQL, MongoDB, Prisma, Sequelize, React.js, Next.js, Vue.js, OpenCV, YOLOv8, ByteTracker, supervision, Computer Vision, Full-stack development
Interests / quote
Seeking a full-stack developer position where I can leverage my expertise in various front-end technologies to create visually appealing and user-friendly interfaces and performant backend, contribute to innovative projects, and collaborate with a dynamic team to deliver exceptional web experiences.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Muhammad Hamza Cell: 923421798786 | Email: muhammadhamzam1486@gmail.com LinkedIn: https://www.linkedin.com/in/muhammad-hamza-hx2552 Address: H-12 NUST Hostels Attar 1 Room No. 303 , Islamabad , Pakistan PROFESSIONAL PROFILE Seeking a full-stack developer position where I can leverage my expertise in various front-end technologies to create visually appealing and user-friendly interfaces and performant backend, contribute to innovative projects, and collaborate with a dynamic team to deliver exceptional web experiences. EDUCATION CS SEECS , Islamabad , 3.71 (2026) INTERNSHIP EXPERIENCE Sentinel AI 01-Jun-2023 - 21-Jul-2023 During my tenure as an ML engineer, I specialized in computer vision using technologies like OpenCV, YOLOv8, ByteTracker, and supervision, and working extensively with network cameras. My contributions involved enhancing their codebase through the implementation of best practices, optimizing algorithms, and using appropriate data structures. FINAL YEAR PROJECT AceVision: Tennis Gameplay Analyzer Using Computer Vision I designed and developed a computer vision based tennis gameplay analysis system that processes match videos to track player movement and on-court actions. The system generates actionable performance statistics such as shot distribution, positioning patterns, and movement efficiency to help players and coaches objectively evaluate gameplay and improve training decisions. The project focuses on converting raw visual data into meaningful insights for performance analysis. TECHNICAL EXPERTISE Web Developer Git JavaScript Node.js Golang DBs: PostgreSQL, MySQL, MongoDB ORMs: Prisma, Sequelize Frameworks: React.js, Next.js, Vue.js
AI enrichment
Muhammad Hamza is a Computer Science student graduating in 2026 with a 3.71 CGPA, possessing a blend of full-stack web development skills and computer vision experience. He has completed an internship as an ML engineer and developed a computer vision-based tennis analysis system as his final year project.
Skills (AI)
["JavaScript", "Node.js", "Golang", "React.js", "Next.js", "Vue.js", "PostgreSQL", "MySQL", "MongoDB", "Prisma", "Sequelize", "Git", "OpenCV", "YOLOv8", "Computer Vision"]
Status: ai_done