Alexander Shmakov Email and Phone Number
I am a 5th Year Ph.D. candidate at the University of California, Irvine with 6 years of experience indeep learning and artificial intelligence. I have expertise in applications of machine learning to scienceand reinforcement learning. I employ state-of-the-art AI techniques to address challenging, practicalproblems across various scientific disciplines, inventing novel solutions and cultivating strategic interdisciplinary collaborations. I am seeking opportunities to contribute to cutting-edge AI technologies.You can find out more about my work and the organizations I work with on my website:https://alexshmakov.com/
Amazon
View- Website:
- amazon.com
- Employees:
- 500669
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Applied Science InternAmazon Jun 2024 - PresentSeattle, Washington, United StatesDeveloping fully automated AI solutions to detect and adapt to fraud on a global scale.Designing innovative reinforcement learning techniques to identify shifts in customer behavior and swiftly adjust strategies to prevent losses.Leading the implementation of interpretable fraud AI systems, ensuring human-understandable adjustments and reliability in unforeseen scenarios.
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Reconstruction And Tracking Groups MemberAtlas Experiment At Cern Jan 2023 - PresentGeneva, SwitzerlandPioneering machine learning innovations in high-energy physics to enhance detection of rare interaction involving the Higgs Boson and contributing to potential new discoveries beyond the standard model.Integrating state-of-the-art transformer and diffusion models with fundamental symmetries from theoretical physics to improve the precision of complex classification tasks and generative inverse problems.Developing software libraries which are widely employed across CERN to accelerate the search for new physics and improve our understanding of the universe.
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Reconstruction And Production Groups MemberNova Experiment At Fermilab Feb 2022 - PresentLeading AI research initiatives focused on enhancing the detection of elusive neutrino decays.Employing a blend of deep convolutional networks and transformer models to achieve precise particle identification,crucial for practical physics analyses and experimental neutrino research.Collaborating with domain experts to integrate these advanced methods into multiple large-scale, ongoing scientific experiments, contributing substantially to the progress of active scientific explorations.
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Deep Learning ResearcherUci Institute For Genomics And Bioinformatics Jan 2018 - PresentIrvine, CaResearching deep reinforcement learning for applications to planning problems, the Rubik’s Cube, and multiplayer games. This headlining work produced the first agent that could solve the cube with no human assistance. I have designed and implemented neural network models, training algorithms, and experiments using Python, C++, TensorFlow, and PyTorch. I have also applied deep learning to medical imaging, experimental physics, and natural language processing.
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Artificial Intelligence Research AssociateHewlett Packard Enterprise Jun 2021 - Jun 2023Milpitas, California, United StatesPioneered the design of advanced multi-agent reinforcement learning systems, targeting enhancements in industrial control mechanisms and the promotion of green energy solutions.Achieved breakthroughs in ensuring the safety and reliability of AI implementations, significantly reducing of levelized cost of energy from novel wave-powered renewable energy sources.Drove the development of innovative reinforcement learning agents, emphasizing the integration of long-term memory, AI safety, and multi-agent cooperation. -
Neurophysiology ResearcherStanford Hansen Experimental Physics Laboratory Jun 2019 - Sep 2019Researched applications of deep learning to modeling the signal processes of rat retinas under Stanford Professor Daniel Palanker. I designed convolutional and recurrent neural networks using PyTorch to accurately predict the behavior of complex retinal spiking timeseries. This research achieved state-of-theart accuracy on modeling ganglion cell activity in response to stochastic visual stimulus.
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Undergraduate ResearcherUc Irvine Jun 2018 - Sep 2018IrvineDesigned and implemented a distributed Monte Carlo Tree Search for applications of deep reinforcement learning to predicting tertiary structure in protein folding. I implemented a distributed computing system to efficiently run large protein simulation and neural network training across multiple CPUs and GPUs using Python, C++, and TensorFlow. -
R&D InternPivotal Systems Jun 2017 - Sep 2017San Francisco Bay AreaDeveloped automated methods for calibrating embedded systems using statistical methods in Python. My contributions improved sensor accuracy in conditions with extreme temperature and pressure. I also created automated production testing systems in C# and C++. I managed projects and communicated with production engineers, delivering efficient software solutions to be deployed in international production. -
Qa InternSideband Networks Jun 2015 - Aug 2015San Francisco Bay AreaDeveloped automated testing software, analytics and preprocessing on network data based on machine learning for anomaly detection framework in python. Purpose was to build a network security product that performed live detection of attacks by analyzing network traffic.
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InternNanosyn Jun 2014 - Aug 2014San Francisco Bay AreaBiotech company focusing on drug discovery and synthesis. Tested new synthetic chemicals for purity and prepared them for biological testing.
Alexander Shmakov Skills
Frequently Asked Questions about Alexander Shmakov
What company does Alexander Shmakov work for?
Alexander Shmakov works for Amazon
What is Alexander Shmakov's role at the current company?
Alexander Shmakov's current role is Deep learning scientist with a focus on AI for science and trustworthy reinforcement learning. alexshmakov.com.
What schools did Alexander Shmakov attend?
Alexander Shmakov attended Uc Irvine, Uc Irvine, Uc Irvine, Lynbrook High School.
What skills is Alexander Shmakov known for?
Alexander Shmakov has skills like Python, C++, Machine Learning, Numpy, Scipy, Tensorflow, Theano, Keras, Scikit Learn, Opencv, High Performance Computing, Cuda.
Who are Alexander Shmakov's colleagues?
Alexander Shmakov's colleagues are Brittany Lausen, Ishan Wickramasinghe, Amer Hameed, Mijanur Miah, Ramesh Kumar Ramesh Kumar, Ayshe .a, Estefany Barrios Torres.
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Alexander Shmakov
Директор Направления Общего Строительства И Развития Бренда Volvo – Ferronordic MachinesSt Petersburg1ferronordic.ru -
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