Software Engineer | Open Source Developer

Software engineering student at McMaster University with experience in CNN architectures, ML systems, and full-stack development. Currently building custom 6-channel gradient field CNN and fusion model to detect synthetic AI-generated images.

Avid open source software developer interested in AI/ML applications, full-stack development, and robotics | x2 Hacakthon Winner 🏆

Check out my repositories and starred repositories to see what I've been contributing to.

Dec 2025 - Present | Node.js, Playwright, JS, GCP

Building a custom Discord bot + application platform to scrape and publish job postings for real-time notifications and resume matching.

Highlights:

• 🤖 Real-time job scraping pipeline using Playwright to automate dynamic ATS portals (Workday, Greenhouse-style flows)
• 🧠 Resume–job keyword matching engine to rank postings based on relevance score
• 🔔 Event-driven Discord notification system with role-based job alerts
• ☁️ Cloud-deployed scraping + parsing workers on GCP for scalable execution

Impact: Helped streamline internship/job discovery by automatically surfacing high-relevance postings in real time.

Oct 2025 - Present | Hamilton, Ontario

• Built a full-stack deepfake detection platform using Next.js and FastAPI, allowing users to upload media and receive real-time authenticity analysis.
• Containerized and deployed the ML inference pipeline with Docker and Kubernetes, integrating NGINX and Redis to support scalable, low-latency predictions.
• Designed backend APIs and asynchronous processing flows to handle compute-heavy inference while keeping the frontend responsive.
• Contributed to an end-to-end production ML system — from model integration to cloud deployment — bridging research and real-world usability.

Sept 2025 - Present | Hamilton, Ontario

• Developed a React-based Chrome (Manifest V3) extension that enables natural language web automation directly in the browser.
• Implemented a FastAPI + WebSocket backend to support live agent reasoning and real-time browser interaction.
• Integrated OCR-assisted DOM parsing to improve automation reliability on dynamic or partially rendered pages.
• Contributed in an open-source environment, collaborating on architecture decisions and building tools that empower developers to automate the web more intuitively.

Sept 2025 - Present | Hamilton, Ontario

• Deployed an LGTM observability stack (Loki, Grafana, Tempo, Mimir) integrated with OpenTelemetry to monitor and trace team-operated services.
• Built CI/CD pipelines with GitHub Actions to automate testing and deployment of internal web tools.
• Strengthened backend reliability using FastAPI and Jinja2, implementing structured error handling and validation.
• Helped modernize the team’s software infrastructure, ensuring race-critical tools are stable, observable, and maintainable.

Sept 2025 - Present | Hamilton, Ontario

• Developed a Temporal Convolutional Network (TCN) in PyTorch to predict joint angles from IMU sensor data for gait estimation.
• Achieved high-accuracy movement predictions (±5°), enabling more responsive and adaptive exoskeleton control.
• Worked at the intersection of machine learning and biomechanics, translating raw sensor streams into meaningful motion insights.
• Collaborated across hardware and software teams to integrate the model into a broader assistive robotics system.