Bijay Upreti is a Senior Machine Learning Developer with 8 years of experience building cloud-native MLOps and API-driven systems, currently contributing to Autodesk from Toronto. He designs and automates scalable infrastructures on AWS (EKS, Batch, Lambda, RDS, Kinesis) using Terraform, CDK and CloudFormation, and has operated clusters supporting hundreds of production models and pods. Bijay combines test-driven Python package and REST API development with CI/CD automation in Jenkins to shrink deployment time and improve reliability, and he’s led cross-functional Agile teams while mentoring junior engineers. Notably, he architected a dynamic log-sharing solution adopted by enterprise teams and standardized modular IaC across environments, reflecting a pragmatic focus on observability and reproducible deployments. Beyond the technical rigor he describes himself as a rational geek and a dreamer, blending disciplined engineering with creative problem solving.
8 years of coding experience
5 years of employment as a software developer
Graduate Certificate, Business Analytics, 4.0, Graduate Certificate, Business Analytics, 4.0 at Seneca College
Pearson BTEC Level 5 HND Diploma in Computing and System Development, Information Technology, Distinction, Pearson BTEC Level 5 HND Diploma in Computing and System Development, Information Technology, Distinction at International School of Managemnt and Technology, Nepal
Bachelor of Science in Computing, Information Technology, First Class Honours, Bachelor of Science in Computing, Information Technology, First Class Honours at Leeds Beckett University
Contributions:28 commits, 20 pushes, 1 branch in 2 months
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Bijay Upreti - Senior Machine Learning Developer at Autodesk