Building foundation model for industrial robots. Incorrigible techno-optimist.I have experience with lots of fields of CS, including Reinforcement Learning, Deep Learning, and Information Retrieval.
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Co-Founder And CtoPhasingSan Francisco, Ca, Us
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Co-FounderStealth Ai Startup Apr 2024 - PresentSan Francisco Bay Area -
Ai At XX, The Moonshot Factory Apr 2022 - May 2023Mountain View, California, United StatesDeveloped physical simulation utilizing MuJoCo and OpenSim for exoskeleton control, resulting in a 1000x increase in speed of humanoid environment simulation. -
ResearcherGoogle Ai Jul 2021 - Dec 2021Zurich, Switzerland• Implemented a neural compression algorithm via TensorFlow being a part of JPEG-XL team.
• Achieved 43% compression improvements compared to standard JPEG compression with the same time of decoding -
Research ScientistDeepmind Sep 2020 - Jul 2021Berlin, GermanyImplemented JAX improvement of off-policy deep reinforcement algorithm being a part of Game Theory Group. -
Deep Learning Research InternNvidia Sep 2020 - Jan 2021Berlin, GermanyDesigned and implemented new Deep learning methods for multi-speaker speechgeneration in the NeMo framework based on PyTorch, Python -
Senior ResearcherJetbrains Jul 2019 - Sep 2020Saint Petersburg, Russian FederationAgent Systems and Reinforcement Learning -
Data ScientistJetbrains Jun 2018 - Jul 2019Saint-Petersburg, RussiaResearcher in two groups Agent Systems and Reinforcement Learning and Machine Learning Applications and Deep LearningReproduce and develop new methods for training AI agents that can be effective in their tasks in a multitude of environments.
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Participant Research Deep Learning JejuGoogle Jun 2018 - Jul 2018Jeju, South Korea- Selected as one of the 24 participants from 562 applicants in 50+ countries- Implement a multi-agents control algorithm using graph neural networks- Collaborate with Tegg Sung -
Course AssistantSt. Petersburg Academic University Of The Russian Academy Of Sciences Jan 2018 - May 2018Санкт-Петербург, РоссияOrganize practical classes in Reinforcement learning for undergraduate and graduate students. -
Data ScientistSoter Analytics Sep 2017 - Dec 2017Muscle strain level prediction using body sensor data– Applied different ML algorithms for prediction of musculoskeletal injuries.– Took part in the development of machine learning - based solution warning the worker about the risk of injury. -
Reinforcement Learning ScientistJetbrains Jun 2017 - Sep 2017Санкт-Петербург, РоссияSummer internship for students– Took part in the development of human model navigation controller for CrowdAI competition. – Modified Deep Deterministic Policy Gradients algorithm by adding potential function.
Aleksandra Malysheva Skills
Aleksandra Malysheva Education Details
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Computer Science -
St. Petersburg Academic University Of The Russian Academy Of Sciences4,8 -
4,9 -
Summer School On Bioinformatics5
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5Th International Winter School On Big Data
Frequently Asked Questions about Aleksandra Malysheva
What company does Aleksandra Malysheva work for?
Aleksandra Malysheva works for Phasing
What is Aleksandra Malysheva's role at the current company?
Aleksandra Malysheva's current role is Co-Founder and CTO.
What schools did Aleksandra Malysheva attend?
Aleksandra Malysheva attended Higher School Of Economics, Высшая Школа Экономики, St. Petersburg Academic University Of The Russian Academy Of Sciences, Университет Итмо, Summer School On Bioinformatics, University Of Cambridge.
What skills is Aleksandra Malysheva known for?
Aleksandra Malysheva has skills like Machine Learning, Reinforcement Learning, Artificial Intelligence, Research, Python, Algorithm, Mathematical Modeling, Data Analysis, Software Development, Data Structures, Programming, Deep Learning.
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2fivecurrents.com, fivecurrents.com -
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Aleksandra Malysheva
Spain -
Aleksandra Malysheva
2D Artist | Concept Art | Digital Illustration | Seeking Entry-Level OpportunitiesLimassol, Cyprus
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