Ira Stevens is a seasoned technology leader and Director of Data Engineering with over 10 years of focused experience building cloud-native ML and data platforms, and more than three decades overall in embedded systems, telecom, and enterprise architecture. At CBRE he leads document information extraction and custom transformer work (patent pending) while operationalizing ML workflows on AWS/GCP with Kubeflow, Argo and Kafka. Previously a Distinguished Member of Technical Staff at Verizon Labs, he architected IoT core cloud systems, VoIP/Unified Communications and large-scale provisioning backends using Go, C/C++ and Java. Ira blends hands-on coding across languages and platforms with domain-level architecture and team leadership, and also runs an ML/app development company applying models to real estate and finance. He uniquely pairs deep low-level embedded expertise (GPS, ISDN, RTOS) with modern ML/NLP productionization skills, making him adept at bridging hardware-constrained products to cloud AI solutions.
9 years of coding experience
30 years of employment as a software developer
BSEE Electrical Engineering and Mathematics, BSEE Electrical Engineering and Mathematics at Cedarville University
Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
Contributions:2 releases, 13 pushes, 30 tags in 3 years 9 months
Contributions:2 commits, 14 pushes, 1 branch in 2 years
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