
Monte Carlo Simulation of Radioactive Decay
ResearchResearch-grade particle physics simulation with multi-channel branching, detector modelling, and 3 visualisation modes.
[ 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.
3+
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.

Research-grade particle physics simulation with multi-channel branching, detector modelling, and 3 visualisation modes.

Full-stack plagiarism detection with TF-IDF cosine similarity, role-based portals, and live Google web search cross-checking.

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

AI-powered meeting companion providing live contextual cues, real-time support suggestions, and auto-generated summary reports.
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.
FAST National University of Computer and Emerging Sciences
Applied to participate 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.
Available for freelance web & app projects. Clear scope, honest timelines, production-quality delivery.
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