What I Bring Skills Projects Background Contact Download Resume
Open to opportunities · May 2026

Engineering
Real Solutions.

I'm Eric, a Software Engineering graduate from McMaster who doesn't just pick a lane. AI pipelines, REST APIs, mobile apps, neural networks: if it needs building, I build it.

3.70
cGPA
McMaster
4+
Projects
5y
Work
experience
Eric Solak
3.70 cGPA
McMaster Engineering
94.3% accuracy
Wildfire Neural Network
May 2026
Graduating
Full-stack
AI to UI

Looking for someone who can build the model,
write the API, and design the interface?

Most software engineers pick a lane. I work across the entire stack, from training neural networks on 100k+ samples to designing the interface that delivers the result.

What I Bring
I don't stay in one lane.
I ship.
AI & Machine Learning
PyTorch neural networks on 100k+ samples, OpenAI Whisper pipelines, LLM integrations. I build AI that actually makes it to production, not just a notebook.
Software Engineering
Scalable REST APIs, authentication systems, offline-first architectures, CI/CD, testing. The engineering fundamentals that make software reliable and maintainable.
Product & Interface
Cross-platform React Native apps with Expo, from wireframe to polished product. I care about how users interact with what I build, not just what runs behind the scenes.
Skills
The real
toolkit.

Things I've worked with in practice.

Languages
Python
Java
C++
JavaScript
HTML/CSS
C
SQL
Frameworks & Libraries
React Native
Flask
PyTorch
Expo
JUnit
Tools & Platforms
Git
GitHub Actions
SQLite
Linux/WSL
REST APIs
Projects
Don't take my word for it.
See what I've built.
Pocket AI
CATTLElytics Inc.
Sep 2025 – Apr 2026
Speak naturally, get structured tasks. End-to-end voice-to-task system built with Whisper, an LLM pipeline, Flask API, and React Native.
PythonFlaskExpoOpenAI WhisperREST API
Integrated OpenAI Whisper for real-time audio transcription, feeding output into a context-aware LLM to parse natural language into structured task fields for the CATTLElytics platform.
Built a voice-to-task pipeline on a Python Flask backend with scalable REST APIs supporting full task lifecycle operations, authentication, and data synchronization with CATTLElytics' proprietary storage system.
Implemented an offline-first architecture with local data storage and syncing when network connectivity is restored, ensuring reliable performance in low-connectivity environments.
Designed and built mobile UI components in Expo React Native, including task views, audio capture flows, and speech confirmation feedback for improved transcription accuracy.
Pocket AI Demo
WATCH DEMO
Wildfire Risk Classifier
Sep 2025 – Dec 2025
Neural network trained on 118,000+ NASA satellite samples. Classifies wildfire risk with 94.3% accuracy, beating every baseline we tested.
PythonPyTorchMachine Learning
Developed a neural network to classify regions into low, medium, and high wildfire risk using 118k+ samples from NASA FIRMS and Open-Meteo.
Significantly outperformed baseline classifiers by achieving a 94.3% test accuracy and high F1-scores across all classes.
Wildfire Map
SneakPeek
Jan 2025 – Mar 2025
Point your phone at any sneaker and get an instant AI identification. Custom DenseNet201 model, multi-agent architecture, React Native app.
PythonPyTorchReact NativeJavaScript
Built a mobile app for AI-powered sneaker identification using React Native.
Trained a custom AI model using a DenseNet201 architecture on a curated dataset for sneaker identification.
Integrated a multi-agent Blackboard Architecture to optimize prediction accuracy.
Autonomous Drone Rescue
Sep 2023 – Dec 2023
Autonomous flight software that navigates procedurally generated islands to locate and rescue targets. Built in Java with a team of three.
JavaJUnitMavenGit
Developed autonomous flight software over procedurally generated islands in a major three-person project at McMaster.
Designed and executed test cases with JUnit to verify functionality of software components.
Drone
Background
Education &
Experience.
McMaster University
Hamilton, ON
Degree
B.Eng Software
4th year
cGPA
3.70 / 4.0
Started
2022
Graduating
May 2026
Relevant Courses
Applications of Machine Learning Data Structures & Algorithms Software Design IV Networks & Security Data Mining Software Testing & QA
Outdoor Golf Services Leader
Sep 2019 – Sep 2025
Brantford Golf and Country Club · Brantford, ON
Developed a Python system to automate staff attendance and clock-in/out tracking, eliminating manual logging for a team of 100+ employees.
Led fleet operations and service quality for a high-volume golf facility.
Served on the Health and Safety Committee to promote workplace safety and compliance.
Coordinator, Impact Initiative
Mar – Apr 2023
McMaster University
Collaborated with a team of Engineering students to design an adaptive kitchen tool for individuals with visual impairments.
Contact

Let's build something
great together.

Graduating May 2026 and ready for what's next. Full-time roles, internships, or projects that need an engineer who builds across the stack. Let's talk.

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