Tommy Hang - Investor at Archetype

Tommy Hang

Investor at Archetype

United States

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Summary

👤

Senior

🎓

Top School

Tommy Hang is an investor and engineer with a decade of hands-on experience building and shipping software across on-chain analytics, consumer finance, zero-knowledge systems, and decentralized finance. He combines founder grit—co-founding an acquired campus startup—with engineering chops demonstrated by contributions to robotics tooling (ROS2 laser_filters) and zk frameworks at Starknet and Arbitrum Foundation. As President of Blockchain at Berkeley and a Venture Fellow at Berkeley Blockchain Xcelerator, he blends community leadership with deep technical product work that spans backend systems and cryptographic infrastructure. Now investing at Archetype, he evaluates early-stage protocols and developer-focused tooling through the lens of production experience and user growth. Notably, his OSS work modernized ROS codepaths to ROS2 lifecycle nodes and PointCloud2, reflecting an attention to compatibility and long-lived maintainability beyond prototype code.

10 years of coding experience

4 years of employment as a software developer

Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of California, Berkeley

SCET Certificate in Entrepreneurship & Technology, SCET Certificate in Entrepreneurship & Technology at UC Berkeley College of Engineering

Lowell High School

Global Entrepreneurship & Innovation Program, Global Entrepreneurship & Innovation Program at European Innovation Academy

Github Skills (7)

rcpp10

c-language10

sens10

cprogramming-language10

sensor10

ros10

filter9

Programming languages (5)

C#TypeScriptC++CPython

Github contributions (5)

ros-perception/laser_filters

Oct 2020 - Nov 2020

Assorted filters designed to operate on 2D planar laser scanners, which use the sensor_msgs/LaserScan type.

Role in this project:

Backend Developer

Contributions:1 review, 20 commits, 1 PR in 9 days

Contributions summary:Tommy primarily focused on enhancing the `laser_filters` library by addressing compilation issues and implementing improvements. Their work included refactoring and updating include headers, such as changing `*.h` to `*.hpp`, and fixing ROS2 syntax. The user also updated filters to use PointCloud2 data structures and refactored code to use rclcpp_lifecycle::LifecycleNode for specific filters, ensuring better compatibility and functionality within the ROS2 environment. The contributions involved substantial changes to existing filter implementations to improve the usability.

laserfiltersoperatescannerssensor

hangst/darknet

Aug 2022 - May 2023

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Contributions:2 pushes in 8 months

pytorchwindowsdeep-learninglinuxobject-detection

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