Summary
Ishaan Upadhyay is a data engineer and University of Toronto computer science student with eight years of hands-on experience building production data and full-stack systems at Faire. He has shipped observability pipelines processing millions of frontend spans daily, streamlined Airflow-based analytics that cut report runtimes by over 90%, and saved $75K annually by replacing third‑party monitoring with an in-house Soda Core framework. Comfortable across AWS, Snowflake, DynamoDB, Kinesis, and containerized dev environments, he bridges ML model lifecycle tooling, stream processing, and backend-to-frontend integrations. Notably, he automated onboarding and CI safeguards that reduced setup time by 97% and introduced migration-parsing checks that surface schema changes proactively. Ambitious and pragmatic, he combines research-minded ML training with pragmatic engineering to move models and data workflows into reliable production.
8 years of coding experience
1 year of employment as a software developer
IB Diploma & OSSD, IB Diploma & OSSD at Victoria Park Collegiate Institute
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Toronto
Nanodegree Machine Learning, Nanodegree Machine Learning at Udacity
English, Hindi, French