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Aleksei Sholokhov Email & Phone Number
Machine Learning Engineer; Applied ML Accelerator -- Foundation Models Team
at
Stripe
1 work email found
@stripe.com
LinkedIn matched
4 data sources
Profile completeness 100%
Current company
Role
Machine Learning Engineer; Applied ML Accelerator -- Foundation Models Team
Location
Seattle, Washington, United States
Company size
Who is Aleksei Sholokhov? Overview
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Quick answer
Aleksei Sholokhov is listed as Machine Learning Engineer; Applied ML Accelerator -- Foundation Models Team at Stripe, a company with 12439 employees, based in Seattle, Washington, United States. AeroLeads shows a work email signal at stripe.com and a matched LinkedIn profile for Aleksei Sholokhov.
Aleksei Sholokhov previously worked as Machine Learning Engineer at Stripe and Research Assistant at University Of Washington. Aleksei Sholokhov holds Doctor Of Philosophy - Phd, Applied Mathematics from University Of Washington.
Company email context
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{first}@stripe.com
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Profile bio
About Aleksei Sholokhov
I am an applied scientist with 5 years of research experience in designing, implementing, and optimizing machine learning models. I have an interdisciplinary background in applied mathematics, statistical modeling, data science, and software development. I love learning about challenging scientific problems, and I thrive in fast-paced collaborative environments. I can help you with my skills in:MACHINE LEARNING RESEARCH:> Completed projects with scikit-learn, PyTorch, TensorFlow, Jax for Deep Learning, Reinforcement Learning, Unsupervised Learning, NLP, and Model Discovery> Expertise Optimization> Passionate about Physics-Informed Machine Learning and ML for SimulationsDATA SCIENCE> Expert knowledge in Statistics, Statistical Models, Clustering, Time-series Data> Experienced in Data Analysis, Data Management, Technical Writing> Strong Data Visualization and Presentation SkillsSOFTWARE DEVELOPMENT> Developed and supported open-source packages for machine learning in Python and C++> Experienced in deploying code to critical high-load infrastructure> Hands-on experience with OpenMP, MPI, CUDA, SQL, MongoDBPROJECT MANAGEMENT> Can effectively present results to general audience in accessible and exciting fascion.> Strong communication, organizational, and conflict-resolution skills gained with years of teaching.I am eligible to work in the US, no visa sponsorship needed. I live in Seattle but I am willing to relocate for the right opportunity. Let's work together to harness the power of mathematics and machine learning to make people's lives better!
Listed skills include Python, Java, Tensorflow, Data Analysis, and 11 others.
Current workplace
Aleksei Sholokhov's current company
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Stripe
8 roles
Aleksei Sholokhov work experience
A career timeline built from the work history available for this profile.
Machine Learning Engineer
Current
Sep 2023 - Present
Research Assistant
* Created an algorithm that extracts interpretable models and learns physics laws from trained neural networks. Decreased the amount of data needed to model noisy dynamical systems by a factor of 10.* Accelerated training of deep neural networks with higher-order methods. Implemented it as TensorFlow and jax modules. Achieved state-of-the-art performance.
Sep 2018 - Jun 2023
Teaching Assistant
* Learned OpenMP, MPI, and CUDA by working as a teacher assistant for graduate-level High-Performance Scientific Computing classes for two consecutive iterations of the course. Developed expertise in MATLAB by holding office hours for Scientific Computing classes for 1 year in total.* Developed gspack: python-autograder to accelerate grading of coding.
Jan 2019 - Mar 2022
Machine Learning Engineer
Designed and implemented a calibration pipeline for large deep learning models using flyte framework. Improved the target metrics by 300%. Enabled the team to offer their products to a broader range of downstream consumers.Transformed my team's vision into a project proposal. Communicated extensively with my leadership to ensure meeting the company's.
Jun 2022 - Sep 2022
Machine Learning Researcher
Created a new deep learning algorithm for predicting behavior of physical phenomena using an embedded device. Implemented it using pytorch and tensorflow. improved the target metrics by 250%. Drove 1 paper from proposal to completion in 3 months and contributed, as a second author, to 1 additional paper.
Mar 2022 - Jul 2022
Research Fellow
As a part of Math Sciences Team:* Invented new statistical modeling tools that extract meaningful features for machine learning models. Implemented it as a python package "pysr3" that is fully compatible to scikit-learn. Achieved 30-fold speed-up upon deployment to the institute's pipelines.* Developed IHME Projections, a statistical model that projects.
Aug 2019 - Dec 2021
Visiting Research Student
* Developed a reinforcement learning framework for controlling ensembles of thermostatic devices. This project resulted in my undergraduate thesis.
Jan 2018 - Mar 2018
Team & coworkers
Colleagues at Stripe
Other employees you can reach at stripe.com. View company contacts for 12439 employees →
DR
Deepti Ramakrishna
Colleague at Stripe
San Francisco Bay Area, United States, United States
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FB
Free Ball
Colleague at Stripe
New York, New York, United States, United States
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KA
Kush Agrawal
Colleague at Stripe
New York, New York, United States, United States
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SW
Simon Wong
Colleague at Stripe
New York, New York, United States, United States
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GN
Gautam Nangia
Colleague at Stripe
Singapore, Singapore
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SS
Sneha Sahota
Colleague at Stripe
Firozpur, Punjab, India, India
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RM
Ricardo M.
Colleague at Stripe
Mexico City, Mexico, Mexico
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JN
Jenny Ni Zhen
Colleague at Stripe
Greater Chicago Area, United States, United States
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LO
Laura O'Mahony
Colleague at Stripe
Dublin, County Dublin, Ireland, Ireland
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PL
Peter Lee
Colleague at Stripe
Seattle, Washington, United States, United States
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Deepti Ramakrishna
Colleague at Stripe
San Francisco Bay Area, United States, United States
View →
FB
Free Ball
Colleague at Stripe
New York, New York, United States, United States
View →
KA
Kush Agrawal
Colleague at Stripe
New York, New York, United States, United States
View →
SW
Simon Wong
Colleague at Stripe
New York, New York, United States, United States
View →
GN
Gautam Nangia
Colleague at Stripe
Singapore, Singapore
View →
SS
Sneha Sahota
Colleague at Stripe
Firozpur, Punjab, India, India
View →
RM
Ricardo M.
Colleague at Stripe
Mexico City, Mexico, Mexico
View →
JN
Jenny Ni Zhen
Colleague at Stripe
Greater Chicago Area, United States, United States
View →
LO
Laura O'Mahony
Colleague at Stripe
Dublin, County Dublin, Ireland, Ireland
View →
PL
Peter Lee
Colleague at Stripe
Seattle, Washington, United States, United States
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2 education records
Aleksei Sholokhov education
Doctor Of Philosophy - Phd, Applied Mathematics
University Of Washington
Master Of Science - Ms, Applied Mathematics
University Of Washington
FAQ
Frequently asked questions about Aleksei Sholokhov
Quick answers generated from the profile data available on this page.
What company does Aleksei Sholokhov work for?
Aleksei Sholokhov works for Stripe.
What is Aleksei Sholokhov's role at Stripe?
Aleksei Sholokhov is listed as Machine Learning Engineer; Applied ML Accelerator -- Foundation Models Team at Stripe.
What is Aleksei Sholokhov's email address?
AeroLeads has found 1 work email signal at @stripe.com for Aleksei Sholokhov at Stripe.
Where is Aleksei Sholokhov based?
Aleksei Sholokhov is based in Seattle, Washington, United States while working with Stripe.
What companies has Aleksei Sholokhov worked for?
Aleksei Sholokhov has worked for Stripe, University Of Washington, Mitsubishi Electric Research Laboratories, Institute For Health Metrics And Evaluation, and Los Alamos National Laboratory.
Who are Aleksei Sholokhov's colleagues at Stripe?
Aleksei Sholokhov's colleagues at Stripe include Deepti Ramakrishna, Free Ball, Kush Agrawal, Simon Wong, and Gautam Nangia.
How can I contact Aleksei Sholokhov?
You can use AeroLeads to view verified contact signals for Aleksei Sholokhov at Stripe, including work email, phone, and LinkedIn data when available.
What schools did Aleksei Sholokhov attend?
Aleksei Sholokhov holds Doctor Of Philosophy - Phd, Applied Mathematics from University Of Washington.
What skills is Aleksei Sholokhov known for?
Aleksei Sholokhov is listed with skills including Python, Java, Tensorflow, Data Analysis, Optimization, Scala, Machine Learning, and Operations Research.
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