
Aleksei Sholokhov
Building AI/ML Foundation Models @ Stripe
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!
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Experience (7 roles)
Full-time · 2 yrs 1 mo
Current2 roles · Sep 2023 - Present
Machine Learning Engineer; Applied ML Accelerator -- Foundation Models Team
CurrentMachine Learning Engineer; Risk Org -- Credit Detection Team
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 extensi...
Machine Learning Researcher
Mitsubishi Electric Research Laboratories · Internship
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
Sep 2018 - Jun 2021
University of Washington
Sep 2018 - Jun 2023
Skills (30)
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
CurrentUniversity 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
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