WHO ARE YOU?
I'm Wyatt, a machine learning engineer. I make AI systems easy to use and enjoyable for people.
WHAT DO YOU DO PROFESSIONALLY?
I build AI systems that are both advanced and easy to use. I am skilled in machine learning engineering and making designs user-friendly.
Currently
Looking for a full-time role that would involve Design and ML I'm creating tools for mental health providers that reduce paperwork so they can focus more on patients. These tools use RAG systems to offer a simple visual search feature. Past
Machine Learning Engineer @ Anvil.ai (2022 – 2024) Built real-time analytics dashboard supporting 50+ users, reducing workflow time by 300% Masters in Artificial Intelligence @ Queens University (2023) GPA: 3.96 while working full-time Data Scientist & Engineer @ Accenture (2020 – 2022) Engineered ML solutions for law enforcement, reducing processing time by 88% Data Engineer Intern @ Export Development Canada (2019) Developed data pipelines improving operational efficiency by 67% WHAT MAKES YOU TICK?
I love making complicated things simple. Just like artists create amazing paintings, I enjoy turning complex AI into easy experiences.
Good design is simple. When you're forced to be simple, you're forced to face the real problem. When you can't deliver ornament, you have to deliver substance - Paul Graham from
I'm driven by combining technical skill with human needs:
Building systems that fit naturally into people's work Designing interfaces that make complex data easy to understand Creating AI tools that enhance, not replace, human skills TECHNICAL TOOLKIT
🧠 Machine Learning & AI: RAG Systems, LLMs, TensorFlow, PyTorch, MLOps 💻 Full-Stack Development: Python (FastAPI, Flask), JavaScript (Next.js) 🎨 UX Design: User Research, Journey Mapping, Prototyping, Figma ☁️ Cloud & Infrastructure: AWS (Certified), Docker, Kubernetes Checkout for examples
🚀 Let's Connect
I'm always excited to discuss the intersection of AI and user experience, or explore potential collaborations.
✉️
🌎 Citizenship: US, Canada
📍 Location: Toronto, ON, Canada
💼