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[ ML Researcher · Full-Stack Developer ]
Building at the intersection of software engineering and machine learning — from particle physics simulations to production web systems.
I'm Mussab — a CS student at the University of Gujrat and co-founder of Flowpath, a software studio where I've built products in healthcare, recruitment, hospitality, and AI.
My work spans two worlds: shipping production web and app systems for real clients, and pursuing research in computational physics and machine learning. I've applied to the KEK/J-PARC summer programme in Japan and built Monte Carlo simulations using the same methods as high-energy physics experiments.
I'm driven by the idea that the same mathematical foundations — probability, linear algebra, statistics — underpin both particle physics and modern ML. That connection is what I want to explore further.
4+
Years Dev
10+
Projects
2
Research Programs
The research areas I'm actively studying and applying.
Applying machine learning to particle physics — bridging statistical mechanics with neural architectures.
Extracting structured information from images using convolutional and transformer-based models.
Statistical modelling, uncertainty quantification, and insight extraction from large scientific datasets.
Monte Carlo methods, stochastic processes, and computational physics applied to real experiments.
A mix of ML research, web, and app projects.

European job marketplace connecting talent with opportunity across Portugal and broader EU markets.

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Conversational AI handling psychological support, software dev assistance, creative brainstorming, and file analysis.
KEK High Energy Accelerator Research Organization, Japan
Applied for the prestigious summer student program at KEK Tsukuba and J-PARC, Japan's leading particle physics facilities. Program involves hands-on research in experimental high-energy physics. Despite a strong application, I was not selected for the program, but it provided valuable experience in preparing research proposals and understanding the competitive nature of international research opportunities.
FAST National University of Computer and Emerging Sciences
Participated in Softec 2026, one of Pakistan's largest technology and computing competitions hosted by FAST-NUCES.
Actively seeking research internships and collaborations in ML/Physics.
Competition wins and verified credentials.
WINNER Programming Competition Intra Colleges J.P.J 2024
Govt. Abdul Haq Islamia Associate College · Feb 2026
WINNER Project Competition Intra Colleges J.P.J 2024
Govt. Abdul Haq Islamia Associate College · Feb 2024
Featured Certificates


AWS SimuLearn: Cloud Computing Essentials
Amazon Web Services (AWS) · May 2026
Cloud
AWS SimuLearn: Cloud First Steps
Amazon Web Services (AWS) · May 2026
Cloud
Physics-grade simulation: multi-channel branching, detector modelling, chi-squared validation.
TF-IDF plagiarism detection with role-based portals and live Google Search cross-checking.
A structured learning journey through data science fundamentals and advanced topics.
Comprehensive collection of DSA problems and solutions with explanations.
Collection of machine learning experiments and implementations.
Dynamic GitHub profile README showcasing stats, pinned repos, and latest activity.
“Because of you, we ve been really busy these past days.”
Available for freelance web & app projects. Clear scope, honest timelines, production-quality delivery.