Sina Jafarzadeh is a pragmatic software engineer with nine years of experience building scalable, cloud-native systems and ML-enabled pipelines across startups and enterprise environments. Currently on Marqeta’s infrastructure team, he focuses on internal tooling and CI/CD pipelines that streamline provisioning, deployment, and observability for product teams. His background spans building real-time distributed services for recommendation and computer-vision workloads, transforming monoliths into microservices, and automating multi-cloud deployments with Kubernetes and Terraform. He pairs hands-on ML experience—from Bi-LSTM models and high-performance TensorFlow training on clusters to production inference integration—with strong observability practices using Prometheus, Datadog, and Grafana. Notably, Sina has delivered end-to-end testing and profiling frameworks that improved resilience and reduced processing latency in high-throughput environments. Based in Vancouver, he blends research-grade rigor from his MS in Bioinformatics with practical engineering to turn complex data and systems problems into reliable production services.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Bioinformatics, Master of Science - MS Bioinformatics at The University of British Columbia
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Sharif University of Technology
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