Irfan Mustafa
Software Developer @CGI
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WORK HISTORY
Software Developer @CGI
Toronto, ON, CA
runtime deploying KServe for model inference serving, MLflow as the central model registry, and Kubeflow-based ML pipelines — enabling data science teams to ship and monitor production models without platform interventionDesigned and shipped the internal developer platform used by other engineers, reducing time to first deployment for new services from several weeks to a single day through golden-path templates, automated onboarding flows, and an internal developer portalDesigned internal developer tools used by other engineers.Worked on test-automation and developed multiple test case scenarios using JBehave stories.Used Java to add new features in a large-scale monolithic service along with understanding legacy code.Provided on-call support for triaging defects and post-deployment.Completed training programs for Google Cloud Platform (Compute Engine, Kubernetes Cluster, Networking).
EDUCATION
Air University
Bachelor of Engineering - BE, Mechanical Engineering
University of Massachusetts Amherst
Leadership and Public Policy
Concordia University
Mechanical Engineering, Research in Software Development for Additive Mnaufactuirng
SKILLS
ABOUT IRFAN MUSTAFA
AWS certified solutions architect and senior full stack developer with 10 years of experience designing scalable, high-performance systems and leading cross-functional teams to deliver complex applications like TSN, RDS, Crave, Lightcurve Crypto Pass wallet, from concept to production. Developed frontend custom tools using React/Next.js for CTV, TSN/RDS and front-end components for Crave Canada’s leading (streaming app with 8M+ subscribers). Developed backend tools to power streaming, article processing and business logic using Node.Js, PsotgresQL and GraphQL. Developed resilient AWS architecture for the TSN app using AWS services such as Lambda, DynamoDB, SQS, OpenSearch, Cognito, and infrastructure-as-code with Terraform. Implemented end-to-end logging, monitoring, and alerting for the Crave app using CloudWatch, Datadog, and OpenSearch to ensure reliability and rapid incident response.
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