Summary
Jason Adam is a Software Engineer with 8 years of experience building scalable, cloud-native systems and ML-powered services, currently contributing to Block on production computer vision projects. He has strong backend and platform expertise in Golang, AWS, and event-driven architectures, and has designed CDC pipelines, low-latency OCR microservices, and ML model-serving infrastructure. His background blends data engineering and MLOps—having built ETL systems, Neptune-to-Snowflake streaming, and containerized FastAPI model services deployed via Terraform and ECS. Academically grounded with an MS in Data Science from Northwestern, he emphasizes fundamentals like algorithms and system design over chasing tooling trends. Colleagues describe him as pragmatic and methodical: he applies software engineering best practices across the stack while keeping an eye on model performance and production reliability. Based in Scottsdale, AZ, he maintains a public GitHub and blog that showcase his hybrid work at the intersection of software, data, and ML.
8 years of coding experience
4 years of employment as a software developer
Master of Business Administration - MBA, Business Administration and Management, General, Master of Business Administration - MBA, Business Administration and Management, General at University of Phoenix
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Northwestern University
Bachelor of Science - BS, Biology/Biological Sciences, General, Bachelor of Science - BS, Biology/Biological Sciences, General at University of Wisconsin–Oshkosh