Aleksei Sholokhov profile photo

Aleksei Sholokhov

Building AI/ML Foundation Models @ Stripe

United States
100+ connections
Aleksei Sholokhov on LinkedIn

Updated 7 months ago

8+

Years Experience

7

Roles

30

Skills

2

Education

About

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 Simulations DATA SCIENCE > Expert knowledge in Statistics, Statistical Models, Clustering, Time-series Data > Experienced in Data Analysis, Data Management, Technical Writing > Strong Data Visualization and Presentation Skills SOFTWARE 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, MongoDB PROJECT 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!

Experience (7 roles)

Full-time · 2 yrs 1 mo

2 roles · Sep 2023 - Present

Machine Learning Engineer; Applied ML Accelerator -- Foundation Models Team

Current
Jan 2025 - Present · 9 mos·Seattle, Washington, United States · Hybrid

Machine Learning Engineer; Risk Org -- Credit Detection Team

Sep 2023 - Jan 2025 · 1 yr 5 mos·Seattle, Washington, United States · Hybrid
Stripe · Internship

Machine Learning Engineer

Stripe · Internship

Jun 2022 - Sep 2022 · 4 mos·Seattle, Washington, United States

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 extensi...

Mitsubishi Electric Research Laboratories · Internship

Machine Learning Researcher

Mitsubishi Electric Research Laboratories · Internship

Mar 2022 - Jul 2022 · 5 mos·Boston, Massachusetts, United States

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...

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Education (2)

University of Washington

University of Washington

Sep 2018 - Jun 2021

University of Washington

University of Washington

Sep 2018 - Jun 2023

Skills (30)

FlyteComputer ScienceResearchCommunicationCloud ComputingPattern RecognitionNeural NetworksSelf-Supervised ModelsReinforcement LearningProject PlanningSignal ProcessingCross-team CollaborationPython (Programming Language)Large Language Models (LLM)Statistical Data AnalysisNatural Language Processing (NLP)PySparkComputational PhysicsStatistical LearningRangePythonscikit-learnTensorFlowscikit-learnTensorFlowJAXOptimization TechniquesPythonMySQLMongoDB
Publications (2)

Modeling COVID-19 scenarios for the United States

Nature medicine · Oct 23, 2020

Quality evaluation and improvement for hierarchical topic modeling

Computational Linguistics and Intellectual Technologies: Materials of DIALOGUE 2018 · May 30, 2018

Volunteer Experience (1)

Diversity, Equity, and Inclusion Committee Member

Current

University of Washington

Sep 2020 - Present · 5 yrs 1 mo

Honors & Awards (2)

Top Scholar Award Scholarship

Issued by University of Washington · Sep 2018

Associated with University of Washington

Scholarship for Academic Excellence

Issued by MIPT, endowed by Parallels, Acronis, Runa Capital · Nov 2015

Frequently Asked Questions

What is Aleksei Sholokhov's current role?
Aleksei Sholokhov is currently working as Machine Learning Engineer; Applied ML Accelerator -- Foundation Models Team at Full-time · 2 yrs 1 mo.
Where did Aleksei Sholokhov study?
Aleksei Sholokhov studied Master of Science - MS, Applied Mathematics at University of Washington. They have 2 education entries on their profile.
What skills does Aleksei Sholokhov have?
Aleksei Sholokhov's top skills include Flyte, Computer Science, Research, Communication, Cloud Computing. They have 30 skills listed on their profile.
Where is Aleksei Sholokhov based?
Aleksei Sholokhov is based in United States.

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