Jeremy London is a Director of Engineering specializing in AI-driven cybersecurity and threat analytics with 11 years of experience building scalable, production-grade ML systems. Currently leading AI and MLOps efforts at Keeper Security to support platforms with over 10 million users, he combines hands-on model development for real-time threat detection with strategic leadership across product and engineering. His background includes architecting low-latency, high-throughput model platforms at Lockheed Martin (20k QPS, <10ms latency) and shipping SoTA embeddings, LLMs, and vision models for retail AI at Vody. A former Presidential Telecommunication Specialist and Army electronic technician, he brings operational rigor and security-first thinking from classified and field environments into commercial AI deployments. Known for improving inference speeds and pipeline efficiency (inference time improvements ~40%) and instituting MLOps and DevSecOps practices, he excels at turning research-grade models into reliable, monitored services at scale.
11 years of coding experience
8 years of employment as a software developer
High School Diploma, High School Diploma at Bradshaw Mountain High School
Special Electronic Repairer Electrical Electronic and Communications Engineering Technology/Technician, Special Electronic Repairer Electrical Electronic and Communications Engineering Technology/Technician at United States Army Electronic Maintenance School
Bachelor of Science (B.S.) Electrical and Electronics Engineering, Bachelor of Science (B.S.) Electrical and Electronics Engineering at Metropolitan State University of Denver
Keeper Commander is a python-based CLI and SDK interface to the Keeper Security platform. Provides administrative controls, reporting, import/export and vault management.
Contributions:22 commits, 7 PRs, 9 pushes in 1 month
keeperclipasswordpassword-managersecrets
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Jeremy London - Director Of Engineering, AI & Threat Analytics