Distributed backend systems
Built event-driven services, high-throughput ingestion pipelines, and multi-tenant application backends using Java, Python, Spring Boot, Kafka, PostgreSQL, MongoDB, and Redis.
Open to software engineering opportunities
I am Ethan Tsang, a software engineer based in Boston with experience across distributed systems, cloud-native infrastructure, and machine-learning platforms. I enjoy turning complex engineering problems into production-ready systems that are fast, observable, and dependable.
About
My background combines industry software engineering experience with graduate work in computer science. I have built SaaS backends, data pipelines, and machine-learning systems that serve production workloads across cloud environments.
Most recently, I worked as a Research Assistant at Boston University, where I helped architect a full-stack ML prediction platform using Next.js, FastAPI, Celery, Triton, Terraform, and Azure Kubernetes Service. I also built production observability and CI/CD workflows to make the platform easier to scale and operate.
Before that, I worked on serverless ETL and geospatial APIs at CLR Analytics, and on multi-tenant SaaS and distributed microservices at KORON Soft. Across these roles, I focused on performance, resilience, and developer efficiency.
I am especially interested in teams solving hard problems in backend engineering, platform infrastructure, cloud systems, and applied AI products.
Strengths
Built event-driven services, high-throughput ingestion pipelines, and multi-tenant application backends using Java, Python, Spring Boot, Kafka, PostgreSQL, MongoDB, and Redis.
Deployed and operated workloads on AWS, Azure, and GCP using Docker, Kubernetes, Terraform, Helm, CI/CD automation, and infrastructure patterns that support reliable scaling.
Worked on inference systems, async processing pipelines, and production monitoring with Celery, Triton, OpenTelemetry, Prometheus, Grafana, and Loki.
Contact
If you are hiring for software engineering roles in backend, infrastructure, or platform-focused teams, I would be glad to talk.