Available for opportunities
Muhammad Zohaib
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Building intelligent systems, futuristic AI experiences, and data-driven solutions. Data Science student at FAST NUCES, Lahore — turning data into impact.
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Building intelligent systems, futuristic AI experiences, and data-driven solutions. Data Science student at FAST NUCES, Lahore — turning data into impact.
Who I Am
I'm a Data Science student at FAST NUCES Lahore with a deep passion for AI systems, machine learning, and building intelligent applications that solve real problems. I combine analytical rigor with creative engineering to design solutions that are both technically sound and visually compelling.
Whether it's training deep learning models on fashion datasets, writing bare-metal x86 assembly games, or designing full-stack enterprise platforms — I thrive at the intersection of low-level precision and high-level intelligence.
Building and deploying end-to-end machine learning pipelines, CNNs, and AI-powered applications with production-grade tooling.
x86 Assembly mastery — interrupt handlers, VGA memory rendering, hardware-level game development, and bare-metal optimization.
Data wrangling, feature engineering, visualization, and building business intelligence tools that turn raw data into clarity.
Architecting scalable enterprise platforms with RBAC, real-time collaboration, REST APIs, and robust system design patterns.
Technical Arsenal
A curated stack of tools and technologies powering intelligent systems.
Selected Work
Engineered solutions spanning AI, systems programming, and enterprise platforms.
Enterprise-grade analytics platform bridging CA and Data Science teams within organizations. Features role-based dashboards, real-time collaboration workflows, conflict detection between revenue projections and financial actuals, and secure isolated firm environments for streamlined financial modelling.
Comprehensive travel assistance platform enabling users to plan trips, discover destinations, and find compatible travel companions. Includes AI-powered itinerary generation, route optimization, expense splitting, travel community features, and smart user matching based on preferences and budgets.
End-to-end AI fashion classification system trained on 8,000 real product images across 8 clothing categories. Compares a Custom CNN achieving 92.25% accuracy against a Random Forest using HOG and HSV features. Deployed via a Streamlit web app for live predictions and side-by-side model comparison.
Smart solar energy optimization console app that recommends ideal panel, inverter, and battery configurations based on user energy consumption and geographic location. Features installation cost prediction, appliance load calculations, full consumer CRUD management, and automated CSV reporting.
Classic two-player Pong implemented entirely in x86 Assembly for 16-bit DOS systems. Features interrupt-driven 60 FPS gameplay, direct VGA text memory rendering at segment B800h, responsive paddle controls with dynamic ball physics, a first-to-five scoring system, and instant restart functionality.
Fully low-level retro bubble shooter written in x86 Assembly running in 16-bit DOS real mode. Features custom timer and keyboard interrupt service routines, direct VGA text buffer rendering with no BIOS calls, shooting mechanics, real-time collision detection, scoring, and animated win/lose screens.
Modern full-stack social media platform focused on interactive user engagement, real-time communication, and dynamic social experiences. Includes authentication systems, responsive feeds, post interactions, profile management, and scalable frontend-backend architecture for smooth social networking.
The Journey
A cinematic record of academic milestones and evolving expertise.
2024 — Present
Focused on AI, Machine Learning, Data Analytics, and Software Engineering. Actively building projects spanning deep learning models, low-level systems, and enterprise platforms.
CGPA: 3.35 / 4.0 · Expected July 20282022 — 2024
Strong foundation in mathematics, programming, and analytical thinking. Developed early interest in software development and problem solving that laid the groundwork for data science.
Grade: 88.8%2018 — 2022
Built foundational academic skills across core subjects. Developed passion for technology and computing that sparked the journey into data science and engineering.
Grade: 95.5%Get In Touch
Whether you have a project in mind, want to collaborate on AI research, or just want to connect — I'd love to hear from you. Let's build something intelligent together.