Erjon Musa
AI/ML Engineer | Computer Engineering
Computer Engineering graduate from Queen's University with a focus on computer vision, deep learning, and embedded AI. I like building systems that take ML research and make it work in the real world, whether that's running object detection on edge devices or working with vision-language models.
About Me
Hey, I'm Erjon! I've always been driven by a deep curiosity for how things work under the hood, a passion that naturally led me to study Computer Engineering at Queen's University. I love figuring out complex systems and turning that knowledge into something people can actually use.
One project I'm really proud of is MyEyes, an assistive AI wearable I built to help visually impaired users navigate the world around them.
My Next Challenge
I'm seeking new-grad software engineering opportunities where I can tackle complex technical challenges and deliver tangible value. With a background spanning full-stack development, systems engineering, and machine learning, I'm passionate about building robust, user-centric applications and collaborating with teams that push the boundaries of what's possible.
Personal Interests
When I'm not coding, you'll probably find me out with my camera doing street or landscape photography. I also love cycling, playing basketball, squash, and frisbee. Cooking and music are big parts of my downtime too.
Technical Skills
AI & Machine Learning
Programming Languages
Web & Frontend
Tools & Platforms
Experience
UX/UI Design Team Lead & Frontend Developer
Government of Ontario
September 2024 - August 2025
Built a portal on Microsoft Power Platform and Dynamics 365, replacing old PDF workflows with a proper web app. Led a team of 3 co-op students, ran Agile sprints, and ensured all digital interfaces and user workflows met rigorous Ontario Design Standards for accessibility.
Projects

MyEyes AI Glasses
2026
Award-winning capstone project. Smart glasses that help visually impaired users navigate safely using real-time object detection with YOLOv8n on an ESP32-S3, plus OCR for reading signs and text out loud. Comes with an Android companion app built in Kotlin.
CLIP Fine-Tuning on MS COCO
2025
Took OpenAI's CLIP model (ViT-B/32) and fine-tuned it on MS COCO 2014 to get better image-text matching. Built the full contrastive learning pipeline from scratch and tested how well it transfers to new tasks without extra training.
Semantic Segmentation with Knowledge Distillation
2024
Used knowledge distillation to train a small, fast MobileNetV3-ASPP model to segment images almost as well as a much larger teacher network. Tested on PASCAL VOC 2012 with solid results despite the huge size reduction.

SnoutNet: Pet Nose Localization
2024
Trained three different CNN architectures (a custom SnoutNet, AlexNet, and VGG16) to find pet noses in photos. Got the error rate under 2% on the Oxford-IIIT Pet dataset.
Education
Queen's University
BASc Computer Engineering · 2021 – 2026
Excellence Entrance Scholarship
Year 5
2025 – 2026Capstone: MyEyes AI Glasses
CapstoneEmbedded AI | YOLOv8 | TensorFlow Lite | ESP32-S3 | 3rd Place, Capstone Competition
Computer Vision & Deep Learning
CNNs | Object Detection | Semantic Segmentation | Knowledge Distillation
Machine Learning & Deep Learning
CourseNeural Networks | Optimization | Generalization | PyTorch
Artificial Intelligence
Search | Planning | Probabilistic Reasoning | Decision Making
Distributed Systems
CourseDistributed Architectures | Consensus | Replication | Fault Tolerance
Queen's Hyper Computing Club
High-Performance Computing | Parallel Systems
Year 4
2024 – 2025Co-op — Government of Ontario
UX/UI Design Lead & Frontend Developer | Power Platform | Dynamics 365
Gallery

Sarandë, Albania
2025
Beach mountains

Vrinë, Albania
2025
Albanian countryside

Scarborough, Ontario
2025
Bike ride to the water purification plant

Toronto, Ontario
2024
Toronto skyline

Lucerne, Switzerland
2024
Swiss Alps

Northern Ontario
2023
Elephant cloud

Kingston, Ontario
2022
Kingston in winter

Big Sur, California
2022
Big Sur coastline

San Jacinto, California
2022
Desert landscape

Toronto, Ontario
2021
Ontario Place

Toronto, Ontario
2020
Tommy Thompson Park

Waterloo, Ontario
2020
Waterloo