Summary
Overview
Work History
Education
Skills
Publications
Timeline
Generic
Jaron Wang

Jaron Wang

Seattle

Summary

Highly efficient leader and developer with proven ability to deliver complex systems across industry and academia. Proficient in high breadth of fields including distributed systems, machine learning, computer vision, and system architecture. Experienced in rapid execution of technical projects from payment system migrations to ML model deployment. Employs strong systems thinking to identify patterns and connections across domains, synthesizing insights from multiple fields to solve complex problems. Capable of real-time debugging and architectural analysis while maintaining high-velocity execution and delivering scalable solutions.

Overview

6
6
years of professional experience

Work History

Founding Engineer

Tribe Money Pools
02.2024 - Current
  • Lead formal internal design meetings for architecture and feature requirements to meet product timelines and customer feedback.
  • Developed comprehensive engineering documents for all projects (API Docs, ERDs, TDRs, Network Diagrams)
  • Architected and built fintech platform serving 500+ users with $60k+ transaction volume.
  • Built React Native mobile app with TRPC/Bun backend deployed on GCP/Kubernetes
  • Designed and implemented event-based compliance framework for high-visibility audits and record-keeping.
  • Designed internal risk-scoring system based on extensive behavioral simulations for early detection of malicious actors.
  • Designed streamlined processes to reduce transaction costs and user latency.

Graduate Research Assistant

Computation Behavioral Modeling Research Lab
12.2022 - 06.2023
  • Worked on generative synthetic trace modeling for mobility datasets based on Deep Gravity Model.
  • Evaluated fairness of different generation models and performance using custom fairness features.
  • Incorporated temporal data into trace generation and prediction to generate higher accuracy traffic prediction models in federated learning.

Software Engineer

Microsoft (Face API)
01.2021 - 05.2022
  • Developed automation tools to improve intake speed of facial recognition data at scale. Increased processing speed by up to 48%.
  • Documented tool usage and troubleshooting mechanisms to IT teams to handle data processing without engineer input.
  • Utilized Microsoft’s synthetic face pipeline to generate extreme pose faces for quality evaluation and dataset augmentation, increasing long-tail performance by up to 40%.
  • Implemented algorithms for improving model fairness across underrepresented minorities at scale.

Computer Vision Lead

Advanced Robotics at the University of Washington
09.2019 - 06.2021
  • Lead a team of develop to design, implement, and test computer vision systems for the DJI Robomasters competition.
  • Implemented machine learning algorithms in Pytorch and Tensorflow for real-time object detection tasks.
  • Researched and implemented state-of-the-art CV research to improve model performance and stability.
  • Performed validation and testing of engineering models to support adequacy and reformulated models.

Education

Master of Science - Computer Science and Software Engineering

University of Washington
Bothell, WA
06.2024

Bachelor of Science - Applied & Computational Mathematical Sciences

University of Washington
Seattle, WA
08.2020

Skills

  • Typescript
  • Python
  • Java
  • C
  • C#

Publications

Survey of Federated Learning Models for Spatio-Temporal Applications: https://dl.acm.org/doi/abs/10.1145/3666089

Timeline

Founding Engineer

Tribe Money Pools
02.2024 - Current

Graduate Research Assistant

Computation Behavioral Modeling Research Lab
12.2022 - 06.2023

Software Engineer

Microsoft (Face API)
01.2021 - 05.2022

Computer Vision Lead

Advanced Robotics at the University of Washington
09.2019 - 06.2021

Master of Science - Computer Science and Software Engineering

University of Washington

Bachelor of Science - Applied & Computational Mathematical Sciences

University of Washington