Matthew McKay's Email Addresses & Phone Numbers

📖 Summary

Software Engineer @ Starry, Inc. Starry is a wireless broadband internet service provider that develops and deploys proprietary hardware. I support the firmware team in a role combining Software Engineering, Devops and Release engineering.· Developed applications for low-power ARM devices using Rust. These applications allow manufacturer to easily test and configure Starry hardware.· Launched and managed a Kubernetes cluster that support several teams on Google Cloud Platform. This cluster hosts services like continuous integration, a remote firmware update service for Starry devices, documentation, nightly firmware builds, and various services for our QA team.· Developed tools to support firmware release engineering in modern Python3 and the Git API. Developed a system nightly firmware build system. Greater Boston AreaSoftware Engineer - Java @ Liberty Mutual Insurance Liberty Mutual is replacing their proprietary call-center with a solution built in-house using modern tech. I worked on call-center features, including Natural Language Understanding components of the service.Java development using Spring Boot, DynamoDB and API.AI. From April 2017 to October 2017 (7 months) Boston, MASoftware Engineer @ DataRobot DataRobot is a machine learning platform that allows data scientists to build and deploy accurate predictive models.Predictions Squad (2015 to Present)· Helped develop accurate and performant, high-throughput, low-latency prediction API using Python, Pandas, uWSGI, Redis, Nginx and MongoDB. · Developed client application for high-performance predictions in Python. Doubled the scoring speed, fixed memory leaks, and developed it work across platforms (Linux, OSX and Windows) as a single-file-executable with no dependency on the Python interpreter. Utilized Requests lib, multiprocessing, data pipelining, multi-threading and network compression. Used TravisCI and Appveyor for Linux, Windows and OSX testing and artifact building.· Helped develop test library that tested prediction consistency across all products. Used PyTest framework and Pandas dataframes for analyzing data. Ensured Python2 and Python3 compatibility· Wrote automated performance benchmark tooks for prediction API using Python, JenkinsCI and Pandas.DevOps team & Enterprise Release team (2014 to 2015)· Helped develop a cloud-based SaaS distributed application into a Dockerized on-premise installation for enterprise customers. The cloud-based deploy was managed with Ansible, and used Amazon S3 for storage. I helped develop the on-premise install which utilized Ansible, Make and Docker for the deploy. I replaced the dependency on Amazon S3 by utilizing GlusterFS's API from directly within the application, rather than mounting a FUSE volume into the container.· Fully provisioned, deployed and secured serveral Hadoop clusters with a mixuture of Cloudera Hadoop and Hortenworks Hadoop for product testing and Business Intelligence. Then I created an automated Cloudera Hadoop deploy process using their Python API for release testing automation. · Build infrustructure for cloud-based SaaS distributed application using Amazon EC2, ELB, Route53, Auto-Scale groups, Terraform, Cloudformation and Deis. From December 2014 to March 2017 (2 years 4 months) Boston, MADevelopment Operations Engineer @ Aereo Aereo provides a cloud service that allows subscribers to watch and record broadcast television. Systems Operations & Development Operations* Monitored and debuged Aereo’s live IPTV platform.* Implemented Salt for configuration management of IPTV infrastructure.* Automated software builds and software packaging.Testing & Automation* Developed a series of hardware tests that continuously log performance data on Aereo’s production hardware.* Created system scalability test environment using containerized instances of Aereo’s infrastructure stack. * Developed tools to test thousands of individual system-on-chip steaming devices. From June 2014 to November 2014 (6 months) Greater Boston AreaSoftware Developer @ Harvard Law School The Harvard Law library is home to several open-source technology projects including H2O, an online casebook platform, and perma.cc, a web-archiving service for the US Courts and law journals._____ILLEGAL_CHAR_SSSTART149ILLEGAL_CHAR_EEEND_____Implemented web-archiving functionality within a Django application. The new functionality utilized the Web ARChive (WARC) archive format, headless browsing, asynchronous task queuing, and a MITM proxy server. _____ILLEGAL_CHAR_SSSTART149ILLEGAL_CHAR_EEEND_____Developed and deployed a web-data extraction tool for use by law Librarians to ingest court documents for the H20 online casebook platform. From September 2012 to February 2014 (1 year 6 months) Harvard Law Library