About Me

Computer Science and Finance student at University of Waterloo, passionate about building intelligent systems that solve real-world problems

Ken Wu Professional Photo

Hey, I'm Ken

I'm in my third year at Waterloo studying Computer Science and Finance, set to graduate in 2027. Most of my time goes into building things—specifically AI systems, software, and applications that actually solve problems people care about.

Work-wise, I've gotten to work on some interesting stuff. At Geotab, I developed AI agents that cut operational costs by thousands of dollars. At a stealth startup, I built financial infrastructure that ended up helping secure investor interest.

Software Developer Lifelong Learner Hopefully an Interesting Person

Beyond Work

Now, if you think I only care about code and finance, you'd be wrong. Outside of work and school, I'm all over the place with my interests. I call myself a serial hobbyist, but here's the thing—I can't do anything halfway. If I'm going to try something, I need to really understand it and get good at it.

Take golf. I'll spend hours at the range obsessing over my swing—filming it, tweaking mechanics, making adjustments. With cooking, I'm the same way. I'm a huge foodie who loves trying new restaurants, then going home to reverse-engineer the dishes. I'll study technique, figure out why certain temperatures matter, practice knife skills until they feel automatic.

I even played video games (Counter-Strike if you're wondering) professionally for a bit, which was a huge testament in what improvement actually requires: watching replays, finding mistakes, drilling the fundamentals over and over. Music is another thing I'm really into. I play classical guitar (mixed with some fun pop songs here and there) and put a lot of effort into perfecting my technique.

"It's pretty consistent across everything I do: 'good enough' doesn't really cut it for me. I want to actually master whatever I'm working on, whether that's optimizing an algorithm or nailing a dish I had at a restaurant last week."

If you are the same or we share some interests, I'd love to hear from you. Don't feel afraid to reach out.

Education

University of Waterloo

Computer Science and Finance

Sep 2023 - Dec 2027

Professional Experience

AI Agent Developer

Geotab • Jan 2025 - Present

Toronto, ON

  • Developed a cost-saving agent with self-evaluation and reinforcement learning using Vertex AI and Gemini 2.5 Pro to optimize real-time CPU core usage in Google Cloud, saving Geotab over $1,700 daily
  • Re-engineered the Superset agent to leverage metadata indexing in RAG from GCS buckets, enhancing data retrieval accuracy and response times by 30%
  • Designed and implemented Geotab GPT using GenAI Gateway and OpenWebUI, creating an internal AI experimentation platform for multiple LLMs

Backend Developer

Confidential Tech Company • Aug 2025 - Present

Remote

  • Engineered and deployed scalable backend services integrating 5+ financial APIs for seamless bank card linking and automated budgeting
  • Developed robust authentication and real-time transaction synchronization with 99.9% uptime
  • Drove technical initiatives that attracted over $350K in early funding interest from investors

Project Team Member

Microsoft - Azure & AI • May 2024 - Aug 2024

Remote

  • Created a working prototype of a financial investment coach generating projected 2% monthly returns using Azure AI services
  • Collaborated with industry professionals to deliver a production-level product combining strategy and cross-team coordination

Technical Toolkit

Tools and technologies I work with to bring ideas to life

Python Java C/C++ JavaScript Dart Vertex AI OpenAI API TensorFlow VectorDB Prophet Google Cloud Docker Kubernetes Terraform Git

Let's Connect

Interested in discussing AI development, software engineering, or potential collaborations?