Matthew Saetae Vu

Software Engineer

San Francisco, California, United States4 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Developed scalable solutions for Google Cloud networking.
Optimized route creation, reducing CPU usage by 25%.
Created award-winning 2D platformer game at HackUTD.

Stackforce AI infers this person is a Cloud Computing Engineer with expertise in scalable infrastructure and distributed systems.

Contact

matthew.svu@gmail.com LinkedIn

Skills

Core Skills

Google Cloud Platform (gcp)Distributed SystemsJavaTypescriptKubernetes

Other Skills

API TestingAWSAWS CodePipelineAWS LambdaAlgorithmsAmazon EKSAmazon Elastic MapReduce (EMR)Back-End Web DevelopmentBootstrapC#C++Cascading Style Sheets (CSS)Computer ScienceConcurrent ProgrammingData Science

About

As a Software Engineer at Google, I work on the Network Virtualization Infrastructure team within Google Cloud, where I design and develop scalable and reliable solutions for cloud networking and connectivity. I use my expertise in cloud computing, distributed systems, C++, Java, Typescript, Python, and Golang to deliver high-quality products and services that meet the needs and expectations of our customers and partners. I graduated from The University of Texas at Dallas with a Bachelor's Degree in Computer Science in December 2022, where I received an eight-semester full-ride scholarship for outstanding academic merit. During my studies, I completed three software engineering internships at Amazon and Google, where I gained valuable experience in building cross-cloud migration tools and contributing to the AWS CDK. I also won the first place in design at the HackUTD Game Jam in 2020, where I created a 2D platformer game using the Unity Game Engine. I am a highly motivated and lifelong learner, who is continuously learning new technical skills that interest me in my free time. I apply this self-learning methodology to my workflow, allowing me to find efficient solutions to intractable problems within both my personal projects and industry work. Outside of work, I am also passionate about helping fellow students with interview prep, practicing soccer, playing chess, reading fantasy novels, and learning Japanese.

Experience

4 yrs 6 mos

Total Experience

2 yrs 3 mos

Average Tenure

3 yrs 5 mos

Current Experience

Google

2 roles

Software Engineer

Jan 2023 – Present · 3 yrs 5 mos · San Francisco Bay Area · Hybrid

o Google Cloud - Network Virtualization Infrastructure / SDN / VPC Routing
o Developed and launched IPv6 feature for GCP Policy Based Routes (PBR). Gathered and executed requirements from cross-organization teams for launch such as security horizontals, adding Terraform support, writing documentation, and completed CLH feature development using Golang. Efforts resulted in IPv6 feature launching one quarter faster than anticipated and with zero customer bugs 6+ months post-launch.
o Identified a route creation inefficiency in the network infrastructure, performed rigorous benchmark testing in C++ and data analysis with Python for a optimization solution that reduced overall CPU execution and peak memory usage of all GCP VPC network static route creation by ~25.7% and ~10.8%.

NetworkingC++Distributed SystemsRoutingAlgorithmsSoftware Defined Networking+4

Software Engineering Intern

May 2022 – Aug 2022 · 3 mos · Texas, United States

o Backup for Google Distributed Cloud - Summer 2022
o Built a cross-cloud, migration tool for lift and shifting Kubernetes config and volume workloads between two clusters utilizing existing Google backup and restore technologies.
o Spearheaded a proof of concept for a new Google Disconnected Cloud product offering by automating a five step migration workflow with support for multiple Kubernetes workload dependencies in Golang.
o Deployed and coupled proprietary Kubernetes custom resource APIs into a Golang script using Helm and Docker
o Technologies: Golang, Kubernetes, Docker, GCP

KubernetesGo (Programming Language)

Amazon

Software Development Engineer Intern

Aug 2022 – Oct 2022 · 2 mos · New York, New York, United States

o Ads Payments Engine - Fall 2022

JavaTypeScriptReact.js

Amazon web services (aws)

Software Development Engineer Intern

May 2021 – Aug 2021 · 3 mos · Seattle, Washington, United States

o AWS EMR on EKS Orchestration team (Big Data Analytics Platform) - Summer 2021
o Designed and implemented end to end Java API service integrations onto AWS SFN resulting in over 170k Docker image pulls and ~2,500 S3 downloads per month reducing customer ramp up time by 80%.
o Developed support for Kubernetes virtual cluster creation and deletion APIs to handle 150k API requests per month on an integration testing framework that allows users to test scalable AWS orchestration workflows locally.
o Architected microservice for a major open source feature addition to the AWS CDK that reduced customer ramp up time by 80% in TypeScript, Python, and NodeJs; collaborated with key stakeholders across multiple teams in AWS.
o Led major effort to flatten the user facing API parameters for a Kubernetes microservice, providing multiple different inputs and defaults for all EMR on EKS SFN service integrations.
o Simplified AWS service setup process by automating the creation of an IAM Job Execution Role in TypeScript and implemented a Python AWS Lambda function that reduced customer ramp up time by 80%.
o Wrote 98% coverage unit and integration tests in Jest.
o Technologies used: Java, Typescript, EKS, Step Functions, CDK, JUnit, Jest

JavaPython (Programming Language)Unit TestingJavaScriptKubernetesTypeScript

Acm utd

3 roles

ACM Community Manager

Jan 2021 – Sep 2021 · 8 mos

o Directed ten staff members on coordinating weekly virtual community events on Discord to engage the UTD CS community
o Organized social events on the ACM discord during COVID 19 bringing in on average 15-25 attendees per event.
o Working with a team of community organizers increased the growth of the ACM UTD discord by over 120%
o Reached out to majors outside of CS/SE and helped bring foster UTD culture during the COVID 19 pandemic

ACM Research

Sep 2020 – Dec 2020 · 3 mos

o Collaborated with a team of five for a research program called ACM Research on a machine learning model that identifies salient features within VR videos and predicts where VR users will look.
o Researched methods to reduce data bandwidth when streaming VR with Dr. Ravi Prakash via VR viewport prediction by comparing salient features to where users are looking at.
o Performed K-Means clustering on each video frame’s salient features using Python, OpenCV, and Scikit which when trained on a Kaggle model resulted in prediction accuracy of 90% when using only 60% (at max) of each video frame with 50% better results than random prediction.

ACM Community Staff

Aug 2020 – Jan 2021 · 5 mos

o Organized social events on the ACM discord during COVID 19 bringing in on average 15-25 attendees per event.
o Working with a team of community organizers increased the growth of the ACM UTD discord by 50%
o Reached out to majors outside of CS/SE and helped bring foster UTD culture during the COVID 19 pandemic

Macy's

Sales Associate

Feb 2017 – Mar 2017 · 1 mo · Dallas/Fort Worth Area

o Liquidated Persian rugs worth tens of thousands of dollars; clearing out the entire inventory in three weeks for store shut down.
o Produced upwards to two thousand dollars of sales per day in a fast-paced retail sales environment.
o Communicated effectively with dozens of customers and pitched, sold, packaged, and manually delivered rugs to customers.