Robot Vision Engineer specializing in SLAM, computer vision, and drone-based 3D mapping systems. Expertise in AWS, Docker, Python, and embedded systems. Constantly working on projects to push the boundaries of autonomous systems and AI.
Carleton University Computer Systems Engineering graduate with distinction, I'll be defending my Master's of Applied Science in Electrical and Computer Engineering with focus on Neural SLAM and augmented reality applications in November 2025.
Currently working as a Researcher at Carleton University developing real-time indoor 3D mapping systems using consumer drones, cloud-based SLAM, and AR visualization. Previous experience includes DevOps engineering at Magnet Forensics and spectrum engineering at Telesat.
Current research in advanced AI and machine learning at Carleton University. Exploring novel approaches to intelligent systems with focus on practical applications and theoretical foundations. Expected completion: October 2025.
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The Smart Band project is the personal projects that I completed while attending university. The goal of the project was to allow a user to control any smart device with gestures using a device like a Fitbit. To do this, I designed and fabricated a small, printed circuit board (PCB) that could gather information, analyze a user's motion, and determine what the gesture was. The band would then relay this information to the device to which it was connected.
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The Smart home project is a culmination of various projects that I completed throughout my time at Carleton University. I created an iOS smartphone app to control the various physical devices which I built. The devices range from smart lights to smart switches, to smart blinds. To connect a device to the app was as simple as touching the device's NFC tag to the phone, at which point the device could be completely controlled over BLE.
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A medication storage device designed as a product mockup for adults with dementia and their caregivers. The system allows medical practitioners to monitor medication consumption, set reminders and alarms, and enable a locking mechanism if required. This device was designed to help improve the lifestyles of patients and their caregivers.
Built an interactive 3D LiDAR sensor simulation using React Three Fiber and Three.js to enable real-time visualization and testing of LiDAR sensors in customizable room environments. The application features procedurally generated room layouts with randomized geometry and furniture placement, real-time raycasting for object detection visualization, and multiple configurable sensor types with adjustable positioning. Implemented a grid-based spatial analysis system for sensor coverage evaluation, interactive 3D controls with 360-degree rotation, and a Leva control panel for real-time parameter adjustments.
The Twitter Bot I built connected to an online quote repository (https://www.quotes.net/) which contains many of quotes from authors I admire (such as Marcus Aurelius and Seneca). The goal of the bot was to posts quotes to my Twitter timeline once a day. This was written in Python and deployed on Heroku. This bot was disabled to not spam my feed; however, the source code can be seen on my GitHub.
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Validates expertise in AWS security solutions
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Validates technical expertise in deployment, management, and operations on AWS
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Validates ability to design and implement distributed systems on AWS
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Validates expertise in developing and maintaining AWS-based applications
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