Strongest at turning research into working systems

AR/VR • AI/ML • UX/HCI • Software

Muhammad Talha

I build immersive, intelligent, and user-centered systems by combining software engineering, AR/VR interaction, AI/ML, UX research, computer graphics, computer vision, and EEG signal processing.

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About Me

Building immersive, intelligent, and user-centered systems

My strength is moving from problem discovery and research to design, implementation, product development, evaluation, and product validation, supported by user experience and customer discovery interviews.

What I do

I work across at the intersection of software engineering, AR/VR interaction, AI/ML, and human-centered design. My work often connects technical implementation with research, usability, and product thinking.

I have built and evaluated projects in immersive CAD, healthcare UX, assistive systems, VR environments, computer graphics, full-stack web applications, machine-learning pipelines, computer vision, and EEG-based analysis.

I am especially suited to multidisciplinary roles where development, research, design, and validation need to work together.

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Core Skills

Software Engineering + Web

Python C# C/C++ JavaScript TypeScript React Vue.js Angular Node.js Express.js REST APIs SQL MongoDB Firebase Git / GitHub Selenium

AR/VR + Graphics

Unity Meta Quest Meta XR SDK SteamVR 3D Interaction Raycasting Shaders / Materials 3D Visualization WebGL Three.js OpenGL Vulkan STL Export

AI/ML + Research

PyTorch Scikit-learn YOLOv8 OpenCV Pandas / NumPy NLP Whisper ASR BERT / RAG EEG Signal Processing Figma User Research Usability Testing SUS / NASA-TLX

Education

My academic background combines engineering management, computer science, machine learning, human-computer interaction, computer graphics, Neuroscience, and research-driven product development.

Graduate Degree

University of Alberta

Jan 2024 – Apr 2026

Master of Science in Engineering Management, Thesis-Based

Edmonton, Canada

Thesis: How Interaction Modality Shapes Design Cognition: Evaluating Augmented Reality CAD Through Behavioral, Cognitive-Process, and Neurophysiological Evidence.

Supervisors: Dr. Ahmed Jawad Qureshi and Dr. Sehrish Javed

Thesis research focused on AR-CAD, immersive interaction, comparative CAD evaluation, Bloom-coded think-aloud analysis, and EEG-based cognitive-load assessment for design tasks.

GPA: 3.8/4.0 AR/VR AI/ML HCI EEG

Relevant Courses

Applied ML & AI Machine Learning for Procedural Content Generation Wearables & IoT Intellectual Property & Commercialization Ergonomics & Work Design

Undergraduate Degree

Lahore University of Management Sciences

Sep 2019 – Jun 2023

Bachelor of Science in Computer Science

Lahore, Pakistan

Built a strong computing foundation across software engineering, algorithms, databases, machine learning, artificial intelligence, HCI, computer graphics, systems, and networking.

Computer Science HCI Graphics ML/AI

Relevant Courses

Object-Oriented Programming Data Structures Algorithms Operating Systems Software Engineering Machine Learning Artificial Intelligence Human-Computer Interaction Information Communication Technology for Development Topic in Human-Computer Interaction Computer Graphics Databases Network-Centric Computing Network Security

Featured Projects

Selected software, AI/ML, AR/VR, UX, and research-oriented projects. More details and projects available in the downloadable portfolio CV.

Jan 2024 – Apr 2026

AR-CAD: Augmented-Reality Computer-Aided Design

A standalone augmented-reality CAD system for Meta Quest 3 built with Unity, C#, and the Meta XR stack. Supports spatial modeling, object manipulation, scene composition, STL export, and immersive design validation.

Visit AR-CAD Website

May 2025 – Apr 2026

EEG Signal Processing for CAD Cognitive Load

Designed an EEG-based workflow for comparing AR-CAD and traditional CAD using Emotiv hardware, event markers, baseline normalization, spectral bandpower, ROI-based analysis, and synchronized task segmentation to study cognitive load.

Details

May 2025 - Dec 2025

Bloom Taxonomy Extension using Machine Learning

A multi-stage NLP/ML pipeline for extending Bloom-domain verb lists using embeddings, WordNet filtering, supervised classification, calibration, and threshold-based acceptance. Also applied to think-aloud transcript analysis.

Details

Meditare virtual reality well-being project

Jun 2022 - Jun 2023

Meditare: Virtual Reality for Well-Being

A VR well-being experience built in Unity and SteamVR using immersive environments, 3D interaction, materials, lighting, and environmental effects to support calming and restorative experiences.

Details

Feb 2022 - May 2022

Virtual Reality for Awareness Training

A scenario-based VR awareness and training experience combining research, immersive implementation in Unity, and evaluation of awareness and response readiness.

Details

Sep 2021 - Feb 2022

AssistTH: Telehealth Mobile Application

A user-centered telehealth mobile application connecting patients and physicians, designed through contextual inquiry, interviews, scenarios, prototypes, pilot testing, and usability testing.

Details

Let’s connect

Feel free to reach out for software, AR/VR, AI/ML, UX, research, or collaborative opportunities.