Summary
Daniel Sacdalan is a backend and cloud-focused Software Development Engineer II with eight years of experience building large-scale, distributed systems across AWS services. Currently on the Annapurna Labs compiler team for AWS Neuron SDK, he previously architected event-driven publishing pipelines, large S3/Glue/Redshift data warehouses, and simulation platform services for Project Kuiper. He combines a pragmatic production mindset—CI/CD automation, blue/green deployments, and serverless patterns—with academic depth from a Georgia Tech MSCS specializing in machine learning and reinforcement learning. Comfortable across full-stack and DevOps responsibilities, he has delivered monitoring fleets, internal APIs, and standardized deployment tooling that reduced operational friction. Colleagues rely on him to bridge research ideas (RL, HMMs, particle/Kalman filters) into robust, production-ready back-end services.
8 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Southern Adventist University
English, Spanish