Summary
Saim Mehmood is a computer scientist and AI/Data professional with 11 years of experience delivering ML, data engineering, and applied research solutions across finance, real estate, and utilities. He holds an MSc from York University, conducted Erasmus research at Uppsala on cloud computing, and is a certified GCP Professional ML Engineer with an award-winning IEEE publication in trajectory data mining. Saim bridges research and production—building serverless AI agents, end-to-end Vertex AI pipelines, and scalable ETL/MDM integrations that have reduced utility losses and improved compliance analytics. He is fluent in Python, PySpark, PostgreSQL/PostGIS and familiar with modern LLM tooling, having contributed to LLM-based analytics and rubric-driven model evaluation. Notably, his research applied NLP and network representation learning to map human trajectories to semantic geographic embeddings, a less obvious thread that informs his work on spatially aware ML systems. Based in Toronto, he actively shares code and writing across GitHub, Medium and academic venues while seeking collaborative AI challenges.
10 years of coding experience
5 years of employment as a software developer
BSSE (Bachelor of Sciences in Software Engineering), Computer Software Engineering, BSSE (Bachelor of Sciences in Software Engineering), Computer Software Engineering at University of the Punjab
Intermediate Computer Science, Computer Science, Intermediate Computer Science, Computer Science at Government College University (GCU), Lahore
Master's degree, Computer Science, Master's degree, Computer Science at York University
Exchange Student, Cloud Computing, Exchange Student, Cloud Computing at Uppsala University
Urdu, English, Punjabi, Hindi