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Zeeshan AfzalZeeshan Afzal

I continuously develop my skills to stay agile, innovative, and ahead in an ever-evolving world

Dec 2024 - Present
Part-time Research Assistant
(University of Salford)
Aug 2023 - Jan 2024
Senior WebGL Developer
(Vyro LLC)
Aug 2022 - Jan 2024
WebGL Developer
(Wooter Apparel)
May 2019 - July 2022
Development Team Lead
(Uforia Infotech Solutions)

Expected graduation July 2025
Master of Science in Artificial Intelligence
(University of Salford)
July 2018
Bachelor of Science in Computer Science
(University of Sargodha)

Programming Languages
(Python, SQL, TypeScript, JavaScript)
Front-End Libraries
(React.js, Next.js, fabric.js, three.js)
Machine Learning
(PyTorch, JAX, Transformers, NLP, ASR)
Python Frameworks
(Flask, Django, Streamlit, Langchain, Pandas, OpenCV)
Tools & ML/Dev Ops
(Monday.com, AWS S3, EC2, SageMaker, Bedrock, Docker, Tailscale)

AI Transcription App with WhisperX
(Personal Project)

Developed a full-stack video transcription application leveraging React.js for the frontend and Flask API integrated with WhisperX on the backend, enabling efficient automatic transcription of video content. Implemented seamless integration to automatically embed generated transcriptions into videos, significantly improving accessibility and viewer engagement. Created an intuitive user interface for reviewing, editing, and exporting transcribed content, streamlining user workflows. Optimized backend processing and scalability, efficiently managing large files and supporting multiple concurrent transcription tasks.

Research Project – Livestock Behavior Analysis (Cows)
(Personal Project)

Fine-tuned YOLO v11 model for accurate detection and classification of cow behaviors achieving 95% accuracy for detection and above 75% accuracy for all classification classes. Implemented CNN-based models for robust cow re-identification across multiple camera views.

React Design/Video Editor
(Personal Project)

Developed an innovative online design platform from the ground up, incorporating advanced features such as video editing and real-time collaboration to enhance user engagement and productivity. Integrated AI-powered tools, including text-to-image and text-to-video generation capabilities, enabling users to create diverse content efficiently. Implemented real-time collaboration features, allowing multiple users to work simultaneously on projects, thereby increasing productivity and creativity. Ensured the platform's scalability and performance, effectively accommodating a growing user base and expanding feature set.