Senior Machine Learning Engineer at Palantir Technologies
Redwood City, California, United States
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Summary
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Senior
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Top School
Aleksandr Patsekin is a machine learning engineer with eight years of experience specializing in deep learning and computer vision, now based in Redwood City and currently engineering at Applied Intuition. He has driven full ML model lifecycles and infrastructure at Palantir, built security-critical 2D/3D X-ray threat detection systems, and applied DL to human–autonomous vehicle interaction at MIT, consistently improving on state-of-the-art architectures. His hands-on stack spans PyTorch, AutoGluon, MMDet, TensorFlow, ONNX, TensorRT and CUDA, with production experience in Python and Java and multiple patents and publications to his name. Aleksandr blends academic rigor (MS from Purdue, NIH-funded research) with practical deployment expertise, including no-code/AutoML and foundational CV pipelines, making him adept at translating research into robust, real-world systems. An uncommon thread in his career is deep experience across both backend software engineering and applied ML, enabling him to own solutions end-to-end from infrastructure to model optimization.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Information Technology, Master of Science - MS, Information Technology at Purdue University
Master of Science (M.S.), Computer and Information Sciences and Support Services, Master of Science (M.S.), Computer and Information Sciences and Support Services at Saint Petersburg State University of Aerospace and Instrumentation
Contributions:2 PRs, 7 pushes, 2 branches in 3 months
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Aleksandr Patsekin - Senior Machine Learning Engineer at Palantir Technologies