Alexander聽Sack
Senior Machine Learning Engineer at Digital In Vivo Alliance
New York, New York, United States
Summary
馃懁
Senior馃帗
Top SchoolAlexander Sack is a Senior Machine Learning Engineer with 15 years of experience building high-performance systems across UNIX kernels, network packet capture, large-scale data pipelines, and production ML deployments. He currently leads camera and video-stream ML engineering at the Digital In Vivo Alliance, optimizing NVIDIA Jetson pipelines, kernel sensor drivers, and ML observability for digital biomarker creation. His background includes architecting terabyte-scale data search and ingestion tools, low-latency blockchain and market-data pipelines, and custom embedded sensor solutions鈥攄emonstrating rare full-stack expertise from kernel drivers to Kubernetes-deployed inference. Based in New York, he pairs rigorous CS training with hands-on hardware and software optimization, and outside work he鈥檚 also a pilot, reflecting an appetite for precision and systems thinking.
15 years of coding experience
21 years of employment as a software developer
Masters, Computer Science, Masters, Computer Science at Stevens Institute of Technology
Github Skills (191)
python10
k8s10
vagrant10
kubernetes10
jupyter10
aws-sdk10
python-modules10
docker10
batch-processing10
nvidia-docker9
virtualization9
developer-tools9
style-transfer9
notebook9
ruby9
Programming languages (11)
Github contributions (5)
pisymbol/docker
Mar 2019 - Feb 2020
Contributions:8 commits, 7 pushes, 1 branch in 10 months
pisymbol/deepmetal
Nov 2018 - Feb 2019
Contributions:23 pushes, 1 branch in 3 months
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