United States

Data engineering

Generative AI

University of Washington

Minseok Choi

Senior Software Engineer

Communication

Problem-solving

Database management

Design systems

Python

React

Airflow

Golang (Go)

Java

Strategies for maximizing your design internship or co-op program.

Getting the most out of my internship

Tips for transitioning into a new role or company.

Changing roles

How to successfully prepare and position yourself for a job promotion?

How to get promoted

How to think about design career paths and what progression looks like for designers?

Design career path

Learn the career path and progression for product managers.

Product management career path

Get actionable feedback on your resume or portfolio.

Resume and portfolio review

Practice HR, technical and behavioural interviews with mentors.

Practice mock interviews

Talk to people who've broken into the tech industry and learn their stories.

Breaking into tech

Learn the best ways to answer technical interview questions with frameworks

Acing technical interview questions

AI-Driven Analytics Engine: Architected a self-service visualization engine using the Model Context Protocol (MCP) to map natural language to Metabase/Snowflake schemas. Developed a custom server to automate deterministic query generation and dashboard state management.
Systems Scalability: Core Member of the SWOT Team, diagnosing systemic architecture bottlenecks and engineering solutions for complex scalability challenges within enterprise cleanroom infrastructure.
Performance Engineering: Optimized syncing of collaborative data into Snowflake (~500 tables/request) and automated propagation to Metabase, reducing end-to-end processing time from 3 hours to 20 minutes via multi-threading and parallelization.
Infrastructure Automation: Led full-stack development of a cleanroom cloning system using Go, Java, and Kubernetes, reducing manual duplication workflows by 90%

Migrated and optimized deprecated ML data pipelines for efficient processing and privacy enforcement, supporting millions of data points from Meta products for downstream ML engineering.

Minseok Choi🇺🇸