About

I am a Senior Machine Learning Engineer and AI Solution Architect residing in Vancouver, Canada. My writing primarily focuses on Python, Rust, Machine Learning / Deep Learning and various aspects of Software Engineering. Feel free to explore my work on GitHub and connect with me on Twitter and Linkedin.

My professional journey spans across leading large organizations like AWS and Huawei Cloud, as well as dynamic roles in smaller startups. I have worked on areas such as Computer Vision, Natural Language Processing, Generative AI and LLMs, Time-series Forecasting and Anomaly Detections. My expertise lies in constructing Machine Learning and Deep Learning models utilizing the PyData stack. Additionally, as a Software Engineer, I am adept at developing the infrastructure required for training and deploying these models with MLOps best practices, whether on bare-metal cloud instances, Kubernetes (k8s) and Modal.

I have a M.Sc. in Computer Science from the University of British Columbia (UBC) (thesis and code). Additionally, I hold another M.Sc. in Mathematics, specializing in Algebraic Geometry from UBC (thesis).

My passion lies in the intersection of theoretical knowledge and the practical, experimental nature of Machine Learning and Deep Learning. Achieving proficiency in both these areas has been a fulfilling and extensive journey. As an open source maximalist, I am deeply committed to continuous learning, sharing knowledge publicly, and actively contributing to open-source projects.

Sample of my OSS contributions