Taeuk Kang

Co-Founder

San Francisco, California, United States3 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI and LLM development.
Proven track record in building scalable systems.
Strong background in teaching and mentoring.

Stackforce AI infers this person is a SaaS expert with a strong focus on AI and data processing.

Contact

taeuk.me@gmail.com LinkedIn

Skills

Core Skills

Product DevelopmentSystem ArchitectureLarge Language ModelsDistributed SystemsTeachingData ProcessingFull-stack DevelopmentSocial Media Design

Other Skills

Software DevelopmentAI DevelopmentTrust and SafetyInfrastructure DesignLLM DevelopmentCode ReviewGradingApache FlinkApache SparkKafkaStream ProcessingSocial Media ApplicationsRecommendation SystemsSocial Media Feed DesignUser Experience

Experience

Rox

Founding Engineer

Apr 2025 – Present · 1 yr · San Francisco, California, United States

Building an AI-powered enterprise sales platform; I make non-deterministic LLMs into reliable, scalable, business-ready products

Product DevelopmentSystem ArchitectureSoftware Development

X

Engineering

Nov 2024 – Apr 2025 · 5 mos · Palo Alto, California, United States

Developed large language model agents and retrieval-augmented generation systems
Designed and built a scalable, distributed LLM infrastructure for product, trust and safety
Made a safer and healthier platform with large language models
Formerly Twitter

Large Language ModelsDistributed SystemsTrust and Safety

Stripe

Software Engineer Intern

Jun 2024 – Sep 2024 · 3 mos · Seattle, Washington, United States

Developed high-performance parallelized stream and batch data processing and transformation pipelines that integrate Apache Flink, Spark, and Kafka

Data ProcessingApache FlinkApache SparkKafka

Stanford hci group

2 roles

Undergraduate Researcher

Sep 2023 – Jun 2024 · 9 mos · Stanford, California, United States

Creating a full-stack social media app to deploy and test the Circles recommendation system

Full-Stack DevelopmentSocial Media Applications

Research Intern

Jun 2023 – Sep 2023 · 3 mos · Stanford, California, United States

Developed a novel social media feed recommender system that challenges the fundamental core design decisions of social media to come up with more enjoyable and pro-social environments
Advised by Professor Michael Bernstein

Social Media Feed DesignUser ExperienceSocial Media Design

Stanford university

Teaching Assistant

Jan 2023 – Mar 2025 · 2 yrs 2 mos · Stanford, California, United States

Led weekly discussion sections in Stanford's introductory computer science courses, CS 106A (Programming Methodology, Python) and CS 106B (Programming Abstractions, C++)
Provided individualized code review for student assignment submissions and graded exams

TeachingCode ReviewGrading