TECHNOLOGY
OVERVIEW
25 years as a senior level consultant for data-oriented software firms (Elastic, Oracle, IBM, Blue Martini, etc). I'd often get assigned to strategic clients, early adopters, crises, and similar initiatives for which the solution had to work, as promised, under real production conditions, often right now.
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As such, the job required a lot of technical depth and breadth across a wide range of software and systems as well as formal and informal leadership, the ability to think clearly in chaotic situations, project management, technical sales, vendor relations, and similar skills.
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Clients include DHS CISA, USAF Kessel Run, IRS, National Football League, Navy-DoD Supercomputing Resource Center, US Census Bureau, AT&T, Northrup-Grumman, Verizon, HP, Bloomberg, Thomson-Reuters, General Dynamics, Booz- Allen Hamilton, CACI, Time-Warner, Sprint, MASCO, SAS Institute, US Olympic Committee, Harrah’s, Gaylord Entertainment, etc.
SKILLS
ML - Tensorflow, Pytorch. Experimental and production pipelines. Deep learning for biometric, security, fraud, signal processing, object tracking, manufacturing, and retail applications.
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Development - C, C++, Python, Julia, Fortran, Go. OpenMP, CUDA. OneAPI DNN, DAL, TBB, and MKL w/ Intel Fortan and C++.
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Infrastructure - AWS and GCP, local bare iron, isolated environments, SCIF. Spark, Airflow, Kafka, Elasticsearch, MXNet. Relational DBs, data warehousing, OLAP, ROLAP, reporting. Neo4J, Redis, others.
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Project - rescue, short-duration management, technical lead, team lead, contributor
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Business development - technical capture, proposals.