Computer science student.
Learning by building.
I’m Syed Muhammad Mehdi Raza, a computer science student at the University of Calgary. I build AI experiments and full-stack applications.
A few things I’m building.
Get closer. Try an idea.
Interactive concept study · Single-image depth and spatial perception
Predicting depth from a single image, with indoor navigation as the destination.
I’m developing a deep learning system in PyTorch to predict depth from single RGB images, targeting robotics perception and indoor navigation.
Interactive concept study · Sequential and parallel processing; not measured benchmarks
Exploring the trade-offs between model latency, throughput, and compute.
I’m building a PyTorch benchmarking pipeline to compare CPU and GPU inference for lightweight machine learning models.
The focus is on measuring execution trade-offs across latency and throughput. Benchmark results are still in development.
Interactive concept study · Illustrative text pipeline; not a live language model
A Python chatbot shaped by natural language processing and feedback.
I designed and developed an AI-driven chatbot using Python, NLP, and machine learning integration. I monitored response quality and used feedback to iterate on model behavior.
Interactive concept study · React → Node.js request flow; not a live booking system
A car rental platform connecting a React frontend to a Node.js backend.
I built a full-stack car rental platform with a React interface and backend functionality in Node.js.
More code, experiments, and work in progress.
Find me on GitHub ↗The best part of building something is figuring out what I don’t know yet.
I’m a student at the University of Calgary, pursuing a BSc in Natural Science with a Computer Science concentration through the Science Co-op program.
My projects are how I connect theory to practice: experimenting with models, measuring performance, and building applications end to end. I’m looking for an internship where I can keep learning alongside experienced engineers.
Bias and fairness in large language models, with empirical evaluation across demographic attributes and model behavior under real-world constraints.
Python, PyTorch, TensorFlow, JavaScript, Node.js, React, SQL, PostgreSQL, Docker, Git, and Linux.
I’m looking for opportunities in software engineering and AI / ML.
If your team has room for a curious builder, I’d love to talk.