Summary
Saif Jilani is a seasoned software engineer with 11 years of experience building scalable backend systems for high-throughput consumer and enterprise products, most recently focusing on Last Mile Technology and Alexa at Amazon and now at Applied Intuition. He has a proven track record delivering 0→1 products and platform-level improvements—launching provider network management, cutting ML pipeline P99 latency in half, and reducing time-to-launch for new use cases from months to days. Saif combines systems-level engineering (Java, Go, Kubernetes, Pub/Sub) with product and developer-experience work, having built CI/CD, observability, and real-time metrics pipelines that reduced latency from hours to seconds. He thrives at the intersection of ML, platform, and product, designing hybrid protocols that decouple models from services and enabling zero-downtime feature promotions. An MBA from Berkeley Haas complements his technical BS from Michigan and explains his repeated role in driving revenue-impacting initiatives and CTO-level collaborations at startups. Outside core engineering, he’s known for squeezing operational inefficiencies out of systems—saving teams tens of engineering hours weekly through automation and tooling.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Michigan
Karachi Grammar School
Master of Business Administration - MBA, Master of Business Administration - MBA at University of California, Berkeley, Haas School of Business
English, Urdu