I'm an aspiring Software Engineer and soon-to-be new graduate who loves building clean, intuitive, and meaningful work. I'm passionate about AI, solving problems, and learning new technologies.
Outside of engineering, I'm a self-taught piano and guitar player, which has helped shape my creativity and patience, both of which I bring into my work as a developer.
McMaster University
2022 - Present
Specializing in full-stack development, AI, and software architecture with a strong foundation in computer science fundamentals.
Brantford Golf and Country Club
Python
C++
Java
JavaScript
C
Haskell
Bash
MATLAB
React
Next.js
HTML / CSS
Node.js
SQL / SQLite / PostgreSQL
REST APIs
Git
Linux / WSL
CI / CD
PyTorch
TensorFlow
JUnit / Maven
SonarQube
Expo
AI-powered features and integrations to enhance user experiences and automate workflows.
Seamless third-party API integrations and custom API development.
Custom web applications built with modern frameworks and best practices for optimal performance.
Native and cross-platform mobile applications that deliver seamless user experiences.
Sep 2025 - Present
Building an end-to-end AI dictation system from the ground up. I'm handling the backend architecture with real-time API endpoints that connect speech-to-text models, setting up data pipelines for efficient processing, and documenting everything so our team can maintain it smoothly.
This project is under an NDA so I can't share code publicly yet, but it's been an incredible learning experience in building scalable AI systems and working with cutting-edge speech recognition technologies.
Sep 2025 - Dec 2025
Trained a neural network on 118k+ NASA satellite and weather samples to predict wildfire risk levels. The model hit 94.3% accuracy on test data—way better than the baseline approaches. This was about combining domain knowledge (wildfire patterns) with solid machine learning fundamentals to create something actually useful.
Jan 2025 - Mar 2025
Built a mobile app where sneaker enthusiasts can snap a photo and instantly identify kicks. I trained a DenseNet201 model on a custom sneaker dataset, then wired it into the app using a multi-agent backend. It's part AI recognition system, part social forum—a fun intersection of computer vision and community.
Sep 2023 - Dec 2023
Worked with a team of three to code autonomous flight software for a simulated drone that navigates procedurally generated islands. I designed test suites with JUnit to make sure each component actually worked before integrating everything together. Great project for learning real software engineering practices at scale.
solakeric28@gmail.com
Location
Ontario, Canada