Staff Software Engineer
Sai Wai Maung
Building Data+AI Platforms
With 8+ years of experience in designing and implementing DATA+AI Platforms that drive business value and innovation.
Education
My academic background and qualifications
University of Waterloo
Specialized in software systems and computer architecture
Skills Radar
A visual representation of my technical expertise
Experience
My professional journey in the tech industry
Staff Software Developer, AI Platform
Kinaxis
Jan 2023 - Present
Leading the development of AI and Data Platform. Architecting and building scalable infrastructure for machine learning workflows and ETL pipeline development and ingestion. Leading the team to ship critical projects on time
Senior Software Developer, AI Platform
Kinaxis
Nov 2022 - Dec 2022
Built scalable data infrastructure and automation in the lead developer role.
Advisory Developer, AI Platform
Kinaxis
Jul 2020 - Nov 2020
Built cloud-based data processing framework in Spark and PySpark. Built micro-services ranging from pipeline orchestrator, scheduler, operator and UI.
Senior Data Platform Enginer
Rubikloud
Jul 2016 - Jul 2020
Joined an early stage startup. Developed the first version of data pipeline to many iterations of Data Platform. Worked closely with enterprise clients to support their critical ingestion needs. Worked closely with ML team to support their forecasting ML solutions.
AI Lab
Explore interactive AI tools powered by large language models. Generate code, analyze algorithms, and get instant explanations.
AI Assistant
Need help or have questions? Click the chat icon in the bottom right corner to interact with Sai's AI assistant. The assistant can answer questions about Sai's background, experience, and technical expertise.
Projects
A selection of projects I've worked on throughout my career
AI Platform Infrastructure
Designed and implemented scalable infrastructure for AI/ML workloads at Databricks, supporting thousands of concurrent model training and inference jobs.
Blog
Thoughts, insights, and tutorials on Data Engineering, AI, and modern software development
Learn how to design and implement scalable data pipelines using Azure Databricks and Delta Lake.
Explore various techniques for fine-tuning large language models for specialized domains.
Discover the best practices for deploying and managing AI workloads on Kubernetes.
Get in Touch
Have a question or want to work together? Feel free to reach out!