Aleksandra Malysheva Email & Phone Number
Who is Aleksandra Malysheva? Overview
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Aleksandra Malysheva is listed as Chief Executive Officer at Stealth AI Startup, a with 4857 employees, based in San Jose, California, United States. AeroLeads shows a matched LinkedIn profile for Aleksandra Malysheva.
Aleksandra Malysheva previously worked as Co-Founder and CTO at Phasing and Co-Founder at Stealth Ai Startup. Aleksandra Malysheva holds Doctor Of Philosophy - Phd, Computer Science from Higher School Of Economics.
Email format at Stealth AI Startup
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About Aleksandra Malysheva
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.
Listed skills include Machine Learning, Reinforcement Learning, Artificial Intelligence, Research, and 18 others.
Aleksandra Malysheva's current company
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Aleksandra Malysheva work experience
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Co-Founder And Cto
Co-Founder
Ai At X
Developed physical simulation utilizing MuJoCo and OpenSim for exoskeleton control, resulting in a 1000x increase in speed of humanoid environment simulation.
Researcher
• 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 Scientist
Implemented JAX improvement of off-policy deep reinforcement algorithm being a part of Game Theory Group.
Deep Learning Research Intern
Designed and implemented new Deep learning methods for multi-speaker speechgeneration in the NeMo framework based on PyTorch, Python
Data Scientist
Researcher 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.
Participant Research Deep Learning Jeju
- 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 Assistant
Organize practical classes in Reinforcement learning for undergraduate and graduate students.
Data Scientist
Muscle 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 Scientist
Summer 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 education
Doctor Of Philosophy - Phd, Computer Science
Master'S Degree, Machine Learning And Data Analysis, 5
Bachelor'S Degree, Science In Computer Engineering, 4,8
Bachelor'S Degree, Science In Computer Engineering, 4,9
Bioinformatics, 5
5Th International Winter School On Big Data
Frequently asked questions about Aleksandra Malysheva
Quick answers generated from the profile data available on this page.
What company does Aleksandra Malysheva work for?
Aleksandra Malysheva works for Stealth AI Startup.
What is Aleksandra Malysheva's role at Stealth AI Startup?
Aleksandra Malysheva is listed as Chief Executive Officer at Stealth AI Startup.
Where is Aleksandra Malysheva based?
Aleksandra Malysheva is based in San Jose, California, United States while working with Stealth AI Startup.
What companies has Aleksandra Malysheva worked for?
Aleksandra Malysheva has worked for Stealth Ai Startup, Phasing, X, The Moonshot Factory, Google Ai, and Deepmind.
How can I contact Aleksandra Malysheva?
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What schools did Aleksandra Malysheva attend?
Aleksandra Malysheva holds Doctor Of Philosophy - Phd, Computer Science from Higher School Of Economics.
What skills is Aleksandra Malysheva known for?
Aleksandra Malysheva is listed with skills including Machine Learning, Reinforcement Learning, Artificial Intelligence, Research, Python, Algorithm, Mathematical Modeling, and Data Analysis.
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