About #

I'm a machine learning engineer located in Vancouver, BC with a background in software engineering and machine learning. I've been developing software professionally for over a decade, focusing on delivering machine learning and artificial intelligence solutions.

I'm a professionally-licensed engineer under EGBC and I currently work at Delta Controls as a senior ML engineer where I lead the technical development of ML systems across different teams within the organization. I've deployed ML systems on the web, mobile, and embedded devices.

What I Do #

• End-to-end machine learning development & ML strategy
• Provide training and strategy on how to effectively develop, use, and deploy machine learning systems, LLM applications, and other AI systems
• LLM application development and integration
• Proof-of-concept and prototype development
• Custom model development
• Large Language Models, Computer Vision, time-series classification, NLP, environmental sound classification
• ML Engineering and systems design
• Data/Training pipeline development
• Software engineering
• Firmware, embedded Systems, and IoT design/development
• Sensors, actuators, and robotics
• Native iOS Development (Swift, SwiftUI)

Tools and Frameworks #

• Languages: Python, C, C++, Swift, Javascript
• ML & Scientific Computing: PyTorch, Scikit-Learn, Tensorflow, Numpy, Pandas, Jupyter notebook/lab
• LLMs: OpenAI, Anthropic, Google, Meta, Hugging Face, LLama, Qwen
• Databases: SQLite, PostgreSQL, TimescaleDB
• Inference: OpenCV, ONNX, TFlite, SIMD, Accelerate
• Orchestration & MLOps: Airflow, Dagster, MLFlow, DVC, MQTT
• Cloud: AWS, GCP
• Operating Systems: Linux, macOS, Windows, RTOS, Bare metal

If you're interested in my work, you can check out some of the projects I've worked on or get in touch.