About
Hi! I'm Muhammad Uzair Mangi, a Computer Science graduate from The Shaikh Ayaz University, Shikarpur. My work blends software development — especially in AI and Machine Learning — with a deep passion for leadership and social impact, particularly in climate action.
I am also the Co-founder of the Digital Youth Leadership Program (DYLP), where I help design fellowships to equip students with skills in emerging technologies, cybersecurity, and leadership.
Education
BS in Computer Science from The Shaikh Ayaz University, Shikarpur (2022–2026), with key coursework in Artificial Intelligence, Machine Learning, and Cybersecurity.
Research Interests
My research interests sit at the intersection of AI, Data Science, and Software Engineering. Specifically: Machine Learning, Data Mining, Pattern Recognition, Image Processing, NLP, IoT, Software Testing, Databases, and AI for Social Good.
Background
Education
Key coursework: Artificial Intelligence, Machine Learning, Cybersecurity.
Co-founder — Present
Leading the Shaikh Ayaz Fellowship Program (Cohort 1), a one-month weekend Zoom-based program with six modules, partnered with TSAUS, Transparency International Pakistan, COMSATS, and Pahel Pakistan. Thematic areas include: Cyber Security Awareness, Emerging Technologies (AI), Leadership Skills, SDGs & Climate Awareness, Personal Branding, and Career Direction.
Fellowships
Developed a Community Carbon Tracker website and secured 1st place in the final presentation.
Presented at the International Conference on Emerging Leaders for SDG 2030.
Internships
Completed a Flutter-focused software development internship.
Built an ML prototype: Smart Information Detection System for automatic media and security-related information categorization.
Leadership & Events
Contributed to planning and execution of the university's flagship tech event.
Projects
Major projects combining Software Development, Machine Learning, and AI — showcasing both engineering and societal contributions.
An AI-powered professor outreach platform that helps students find and email research supervisors abroad. Integrates Google Gemini API to personalize outreach emails based on professor research interests. Built with Next.js 14, MongoDB, and deployed on Vercel.
Tech: Next.js 14, MongoDB, Gemini API, TypeScript, Tailwind CSS
An ambitious World History Knowledge Platform with a RAG pipeline using local embeddings (sentence-transformers), MongoDB vector search, and 25+ ingested history books. Designed to avoid external API dependencies and support academic research.
Tech: Python, sentence-transformers, MongoDB Vector Search, RAG, NLP
A full-stack Flutter & Firebase app for artists and event organizers to book, manage, and make in-app payments. Features three dashboards (artist, event-organizer, admin), a ML-based recommendation system for top-rated singers, artist face recognition, and Stripe payment gateway integration.
Tech: Flutter, Firebase, Machine Learning, Stripe
A full-stack AI-based Carbon Emission Analyzer for companies and industries, plus a personal footprint analyzer contributing to SDG 13 (Climate Action). Integrates two ML models. Presented at the TI-P Fellowship closing ceremony and the NYLP International Conference on Emerging Leaders for SDG 2030. Team awarded 1st position — prize of ₨20,000.
Tech: Python, Machine Learning, Web Development
A prototype developed during the ISPR internship to automatically detect and categorize media and security-related information using NLP and computer vision.
Tech: Python, Flutter, SQL, NLP, OpenCV, TensorFlow
An AI-powered system that detects fake skills, buzzwords, and scores confidence in resumes. Detects fake skills and generates a supplementary skills profile for the candidate.
Tech: Python, Streamlit, NLP
Created and published the first Pakistani Singers/Celebrities face recognition dataset on Kaggle. Includes 10 personalities with 30–35 images per artist.
Tech: Computer Vision, Dataset Engineering
Including internship work, local projects, and competition entries. Currently working with the developer team at The Shaikh Ayaz University (TSAUS) on web infrastructure and CMS systems.
Tech: Flutter, Python, Machine Learning, Next.js, Supabase
Conferences
Academic conferences and events where I have presented research or represented as a speaker.
Delivered an awareness session on carbon markets in the Pakistani context, exploring financial risks, regulatory gaps, and the economic opportunities carbon trading could offer for a climate-vulnerable nation.
Presented by: Muhammad Uzair Mangi
Certificates
Professional certifications, training completions, and online courses.
CV
If the embedded PDF does not load, you can download it here.
Contact
Feel free to reach out for collaborations, research opportunities, or just to connect.