Nathan Nam
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNathan Nam is a Principal Product Manager with 11 years of experience turning complex platforms, developer tooling, and AI into enterprise-scale products that drive measurable business outcomes. He currently leads the Archetype AI Platform after scaling AI observability at Observe (acquired by Snowflake), where his LLM- and MCP-driven innovations reached seven-figure ARR in months and materially cut cloud costs for customers. Nathan has a proven record of shipping connector and API ecosystems at Confluent and MuleSoft that unlocked multi‑hundred‑million ARR opportunities and supported IPO-scale growth. Technically fluent in LLM productization, OpenTelemetry, Kubernetes, and API design, he pairs data science and MBA training to bridge research, engineering, and go-to-market strategy. An active contributor to real-world developer tooling, he has hands-on experience integrating Oracle CDC with Kafka in widely used Docker playground projects, reflecting a blend of product leadership and deep systems know-how.
11 years of coding experience
13 years of employment as a software developer
Computer Science, Computer Science at University of California, BerkeleyMaster of Business Administration (MBA), Master of Business Administration (MBA) at The Tuck School of Business at DartmouthBachelor of Engineering (B.E.) Computer Science and Engineering, Bachelor of Engineering (B.E.) Computer Science and Engineering at Sogang UniversityMaster of Information and Data Science Data Science and Machine Learning, Master of Information and Data Science Data Science and Machine Learning at UC Berkeley School of InformationKwachen High School
English, Korean, Spanish
Github Skills (11)
sh10
kafka-connect10
confluent10
script10
docker10
shell10
oracle10
oracles10
devops10
dockers10
scripting10
Programming languages (12)
Github contributions (5)
vdesabou/kafka-docker-playground
Oct 2020 - Jul 2021
🐳✨ Fully automated Apache Kafka® and Confluent Docker based examples // 👷♂️ Easily build examples or reproduction models
Role in this project:
DevOps Engineer
DevOps EngineerContributions:63 commits, 20 PRs, 3 comments in 9 months
Contributions summary:Nathan primarily focused on modifying and updating scripts related to setting up and configuring Oracle CDC (Change Data Capture) for various scenarios, including CDB and PDB setups. Their commits demonstrate a deep understanding of the Oracle environment and its integration with Kafka Connect, evident in the frequent adjustments to shell scripts. The user's work involved updating dependencies, fixing potential bugs, and adapting to different preview versions of the Oracle CDC connector, ensuring the playground environment remained up-to-date and functional.
sinkapache-kafkaconfluent-clouddockerapache
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