Software Engineer

Jae Jimmy Wong

919-***-**** **********@*****.*** linkedin.com/in/jjwong0915 github.com/jjwong0915

EDUCATION

Master of Computer Science August 2022 - December 2023 North Carolina State University, Raleigh, NC GPA: 3.97 / 4.00 Relevant Coursework:

DevOps, Cloud Computing Technology, Software Security, Operating System Security, Computer and Network Security, Game Engine Foundations, Advanced Distributed System

Bachelor of Science in Computer Science

National Chiao Tung University, Hsinchu, Taiwan

Relevant Coursework:

Data Structures and Object-oriented Programming, Parallel Programming, Computer Networks, Computer Network Administration, Network Planning and Management, Digital Circuit Design, Digital System Design, Digital Signal Processing, Microprocessor System Lab., Advanced Programming in the UNIX Environment, Advanced Design and Implementation of IOT Applications, Computer Graphics, Database Systems, Multimedia Information System

WORK EXPERIENCE

Software Engineer July 2018 - August 2022

iiNumbers Inc, Taipei, Taiwan

● Developed a camera monitor system that prompts users within 850 milliseconds of a security event by making a real-time image processing pipeline with Celery, RabbitMQ, Redis, and Triton Inference Server.

● Designed a private cloud computing platform for the VM demands of at least 120 data analysts by configuring Kubernetes clusters as the backend.

● Reduced 58% of running time for generating personalized product recommendations by improving the Python and SQL Server scripts.

● Created a web application that enables building cross-platform customer-service chatbots by integrating the API of three messaging applications.

● Led a team of four software developers in implementing a customized enterprise resource planning(ERP) system using Django and MySQL.

● Increased the speed of a CI/CD pipeline by 44% by optimizing Docker build time.

PROJECT EXPERIENCE

Performance Diagnosis with Logs and Metrics January 2023 - May 2023

● Introduced two approaches to pinpoint the cause of performance bugs within more than 6000 lines of logs by automatically learning the possible keywords and timing of bugs from system events and metrics.

● Implemented bug-reproducing scripts for timeout bugs on Hadoop and HDFS clusters.

Real-time Collision Avoidance System for Drone

● Improved the lightweight monocular depth estimation model by 15% by optimizing its Tensorflow training process and retraining with augmented data.

● Designed an algorithm that determines the best direction to avoid collision in 10 milliseconds with the limited computing power on a quadrotor aircraft.

● Developed a collision data generation script by simulating drone flights with AirSim.

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