Summary
Sebastian Ortiz is a Staff Software Engineer in San Francisco with 14 years of experience building high-throughput, production-grade backend systems across ads, signal processing, and embedded hardware. He currently architects large-scale genAI and agentic workflow platforms at Walmart, marrying tools like LangChain/LangGraph with MCP servers and advanced observability to keep complex pipelines reliable. Previously he optimized ad delivery and OLAP data flows using Kafka, Druid, RabbitMQ, and a mix of databases (Redshift, Cassandra/Scylla, Postgres), and has deep experience automating deployments with Docker and Ansible. His background spans from DSP and optical transceiver test at Applied Signal Technology and Agilent to hands-on hardware projects (wireless scales, custom keyboards, fiber optics), giving him a rare blend of firmware, hardware, and backend systems expertise. Collected MIT and Cornell engineering training underpins a pragmatic, measurement-driven approach to performance tuning and telemetry.
13 years of coding experience
14 years of employment as a software developer
BS EECS, BS EECS at Massachusetts Institute of Technology
MEng, Electrical and Computer Engineering, MEng, Electrical and Computer Engineering at Cornell University
Spanish