Summary
Israel Shok is a machine learning and backend engineer with eight years of experience building cloud-native, data-driven systems and internal platforms for scale. He has delivered end-to-end services—from device-facing IoT pipelines to Kubernetes-based serverless deployments—at companies like Trax and Navina and now works as an MLE at Intel. Skilled in Python, SQL/NoSQL, AWS/GCP, CI/CD and test frameworks, he often blends ML with ops to reduce costs and improve reliability (for example using battery-voltage prediction to cut IoT expenses). A BS in Mathematics and Computer Science underpins his strong engineering approach, and his hands-on maker mindset (woodworking, CNC, 3D printing, home automation) influences how he prototypes hardware-software integrations.
8 years of coding experience
10 years of employment as a software developer
BS Mathematics and Computer Science, BS Mathematics and Computer Science at Ariel University
Hebrew, English