Electrical & Computer Engineering · University of Toronto
Fahad
Shaikh.
Computer vision & machine learning.
I work on 3D geometry, perception, and the software around ML models—from processing noisy scans to building tools people can use.
3D vision / Perception / Applied ML / Digital hardware
01 / Selected work
Projects
Adaptive Neural Facial Deformer ↗
Reconstruct expression, pose, and identity from partial 3D face scans; export an editable OpenUSD rig.
PYTHON · PYTORCH · CUDA · OPENUSD02 / BROWSER AUTOMATIONPeriscope ↗
Extract product and pricing data from interactive websites while keeping links to source evidence.
TYPESCRIPT · PLAYWRIGHT · NEXT.JS02 / In practice
Experience
AI/ML Engineer Intern · Aortem
Retrieval-augmented systems, model fine-tuning, and inference optimization.
Computer Vision Research Engineer · aUToronto
Fourier-based image enhancement for autonomous vehicle perception.
03 / Field notes
Writing
A pipeline for reconstructing faces from partial scans ↗
How the facial deformer combines a learned point-cloud solver with geometric refinement and an editable rig.
Periscope: evidence-linked browser extraction ↗
A browser automation tool for collecting product data while keeping the source of each result visible.
04 / Contact
Let’s talk.
Open to internships, research opportunities, and engineering collaborations.
fahadnafees.shaikh@mail.utoronto.ca ↗