Computer Science · Cybersecurity · AI/ML

Building secure,
intelligent systems.

I'm Om Patel, a Computer Science co-op student at McMaster University with experience across cybersecurity, machine learning, data processing, and software development.

Explore my work ↓ Let's connect ↗
Kitchener, Ontario McMaster University Class of 2027
om@portfolio:~

$ whoami

om_patel

$ focus --current

cybersecurity

machine-learning

software-engineering

$ status

building & learning_

01 / ENGINEER
01 — About

Software with a
purpose.

I enjoy working where software engineering meets data, security, and intelligent systems. My experience includes automating large-scale log analysis, building machine-learning pipelines, developing clinical data-processing workflows, and supporting cybersecurity risk assessments.

I'm currently pursuing a B.A.Sc. Honours Computer Science (Co-op) with a Minor in Statistics at McMaster University.

100GB+daily logs processed
95%CNN accuracy
40%faster security triage
30 FPSreal-time pose system
02 — Experience

Where I've
worked.

Turning technical problems into measurable improvements.

01/2026 — 08/2026

Cyber Security Analyst

Government of Canada

Ottawa, Ontario

  • Developed Python automation to parse, extract, and structure 100GB+ of daily network and system logs, cutting security triage time by 40%.
  • Built 10+ Linux shell scripts and diagnostic utilities, reducing manual health-check overhead by 25%.
  • Supported security risk assessments using ITSG-33 / ITSG-22 frameworks across 10+ network architectures and system interfaces.
PythonLinuxBashCybersecurityITSG-33
06/2025 — 08/2025

Quality Assurance Analyst

Holland Bloorview Kids Rehabilitation Hospital

Toronto, Ontario

  • Designed MATLAB data-processing pipelines for clinical motion-capture analysis, increasing processing throughput by 30%.
  • Integrated Visual3D and Cortex workflows for biomechanical analysis, improving consistency and reliability of motion-capture data.
  • Developed QA procedures and validation checks to maintain 100% data accuracy and data-integrity requirements.
MATLABVisual3DCortexQA
09/2024 — 04/2025

AI & ML Developer

McMaster Artificial Intelligence Society

Hamilton, Ontario

  • Optimized machine-learning pipelines through streamlined preprocessing and feature selection, reducing training time by 30%.
  • Developed a 12-layer CNN achieving 95% accuracy on a 50K+ image dataset while reducing inference time by 25%.
  • Integrated reinforcement-learning feedback into ML workflows to personalize user corrections, improving correction efficiency by 40%.
  • Containerized training and inference workflows with Docker for scalable CI/CD deployment.
PyTorchTensorFlowDockerPythonDeep Learning
03 — Projects

Selected
projects.

Hands-on work across computer vision, deep learning, and security.

01DEEP LEARNING
RESNET
→→→
CIFAR-100

CIFAR-100 ResNet

A ResNet-based image classification project focused on training a deep-learning model for the CIFAR-100 dataset.

PythonPyTorchResNetCIFAR-100
View on GitHub ↗
02SECURITY / C
⌁
KEYRC4DATA

RC4 Encryption Library

A C implementation of the RC4 stream cipher with initialization, keystream generation, encryption/decryption, and a Makefile-based example.

CRC4CryptographyMake
View on GitHub ↗
03ALGORITHMS
PATH FOUND

Maze Solver

A maze-solving project focused on implementing path-finding logic and navigating a grid from a start point to a solution.

AlgorithmsData StructuresMaze
View on GitHub ↗
04COMPUTER VISION
30 FPS

Real-Time Pose Analysis System

Computer vision-powered physiotherapy exercise classifier providing real-time form feedback using OpenCV, MediaPipe, and machine-learning models.

MediaPipeOpenCVComputer VisionML
View on GitHub ↗
05SECURITY / ML
→
8-BIT

GANHide

cGAN-based steganography system that embeds 8-bit messages into 8×8 grayscale images and uses a CNN extractor for message recovery, achieving 97.07% extractor accuracy and 97.99% validation accuracy.

TensorFlowcGANCNNSteganography
View on GitHub ↗
04 — Skills

Technical
toolkit.

Tools and technologies I've worked with through coursework, projects, and professional experience.

Languages

Python · C/C++ · Java · JavaScript · Bash · SQL · MATLAB · LUA

ML / Data

PyTorch · TensorFlow · Scikit-Learn · Pandas · NumPy · OpenCV · Apache Airflow

Cloud / DevOps

Docker · Git · GitHub · GitLab CI · AWS · GCP · Azure · REST

Systems / Security

Linux · Wireshark · Syslog · Shell Scripting · Cybersecurity · Parse

Development

HTML · CSS · SQLite · Visual Studio Code · Jupyter

05 — Education

McMaster University

B.A.Sc. Honours Computer Science (Co-op) · Minor in Statistics

09/2022 — 04/2027 · Hamilton, Ontario

06 — Contact

Let's connect
and build.

Interested in software engineering, cybersecurity, AI/ML, or just want to say hello?

LinkedIn ↗ GitHub ↗