Michael Hardy

Skills & Abilities

• Languages: Python (13 years of experience), Rust, Java, Go (4 years), coursework in C
• Tools: Git, Elasticsearch, Spark, GraphX
• Systems: Have run Linux for around 13 years (Debian, Ubuntu, and Arch)

Education

• Bachelor's degree in Computer Science from the University of California Santa Cruz

Experience

Software Engineer | Arista Networks | January 2022 - November 2025

• Ported legacy microservices to be multitenant as part of cloud cost control efforts
• Maintained and extended network management software written in Go
• Ported tests from Python 2 to Python 3 and helped maintain tests and pass rates
• Maintained installer for on premises version of network management system

Software Engineering Intern | Arista Networks | Summer 2021

• Wrote tagged logging library for the network management system
• Worked on porting switch OS image preloading to new internal microservice framework

Engineering Intern | 8x8 | Summer 2019

• Reimplimented an analytics batch job top of Apache Spark and GraphX using Scala and Java
• Worked on analyzing customer feedback emails primarily with Python

Engineering Intern | 8x8 | Summer 2018

• Helped analytics department set up and transition to new database system.
• Built database management and benchmarking tools.

Technical Writing Contributor | EDGI | Summer 2017

• Contributed to Environmental Data Governance Initiative projects remotely via GitHub
• Tested and updated installation documentation for various projects run by EDGI, a citizen information nonprofit and helped update it

School Technology Assistant | Summer 2015-Summer 2016

• Helped design and facilitate one-week training for new students on using Windows and Google Apps
• Helped school transition to from Microsoft Exchange to Google Apps
• Helped maintain Windows laptops by identifying and troubleshooting broken computers
• Was on call as tech support for teachers and students

Projects

Capstone in Garbage Collection for Cloud Backups | Spring 2021

• Worked with a team of students to help Dell EMC benchmark garbage collection strategies for serverless environments

• Wrote software in Python to find other news reports on a given event or topic when given one
• Software used Google’s Natural Language API to tag news articles which were then matched with one another using ElasticSearch

• Created a piece of software that uses computer vision to help organize handwritten notes

Computer Vision Experiments | Spring 2015-Summer 2016

• Utilized dead reckoning to build a robot that can sense and map the location of obstacles.
• Trained robot to triangulate its location using a camera and QR codes

• Wrote software that detects attempts to commandeer user accounts on websites by monitoring typing behavior and other metrics to provide continuous authentication
• Gained better understanding of how to build asynchronous systems in Python