Shoya Yoshida

Senior Software Engineer, Machine Learning at Instagram

Hokkaido Prefecture, United States
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Summary

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Rockstar
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Top School
Shoya Yoshida is a machine learning-focused senior software engineer with five years of experience building production ML systems at Peloton and Instagram in New York. He combines applied research roots from Columbia University with hands-on engineering, moving from research assistant and internships into ML engineering roles that emphasize robustness and data-driven product features. Comfortable across the stack, he has also contributed database schema design and transactional logic in open-source projects, reflecting a practical attention to data integrity and operational tooling. Based in Hokkaido but working in the U.S., he brings a cross-cultural perspective and a long-standing interest in Linux/Android systems that informs his engineering instincts. Colleagues describe him as someone who bridges research and production, turning experimental models into scalable services.
code4 years of coding experience
job7 years of employment as a software developer
bookBachelor's degree Finance Major Computer Science Minor, Bachelor's degree Finance Major Computer Science Minor at Georgetown University
bookCranbrook Kingswood High School
bookBachelor of Science* Computer Science, Bachelor of Science* Computer Science at Columbia University
languagesJapanese, English
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Github Skills (10)

stored-procedures10
schema-design10
database-administration10
postgresql10
sql10
schema10
database-design10
db-schema10
database-schema10
data-modeling9

Programming languages (15)

JavaCRustMakefilePLpgSQLGoHTMLKotlin

Github contributions (5)

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Repositório da 2ª edição da Rinha de Backend
Role in this project:
userDatabase Engineer / Database Administrator
Contributions:4 PRs in 1 month
Contributions summary:Shoya's commits focus on database schema design and implementation for a backend service. The code changes primarily involve defining database tables, including `clientes`, `transacoes`, and `saldos`, along with their respective columns, data types, and relationships, using SQL. Furthermore, the commits incorporate the creation of stored procedures and functions for managing transactions, retrieving balances, and generating extracts, demonstrating a focus on database logic and data management within the application. Seed data for the database is included, populating the tables with initial values.
MoeKernel/build

Oct 2023 - Mar 2025

CI for MoeKernel
Contributions:2 PRs, 411 pushes, 2 branches in 1 year 5 months
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