Jared Butler Email & Phone Number

Mechanicsburg, Pa, Us

Mechanicsburg, Pa, Us

Redmond, Washington, Us

Software Engineer on the OneDrive SharePoint Compute Scale, Performance, and Tenant HealthChapter 1:My work is focused on the scalability of compute resources for OneDrive and Sharepoint. This involves adding telemetry so we have a better view of our systems performance, data analysis of performance in both production and sterile test environments to identify bottlenecks, and applying optimizations to improve the scalability of our product and reduce the compute resources needed.Chapter 2:I along with one other engineer spearheaded our project where we created a job engine to easily conduct scale, load, and security testing on Microsoft's APIs. This was greatly inspired to improve the tooling and promote a culture of continuous load and scale testing within our org. I was heavily involved in the system design, architecture, and implementation of our cloud resources, the CLI tool, the job engine, the job scheduling system, and the reporting and alerting systems. This project was pitched by me and one other engineer, and we saw it through to completion, even being allotted additional engineers as resources. This job engine has been adopted by other teams, and we continue to get requests for onboarding different teams across Microsoft.Chapter 3:I have been heavily involved with API design and Implementation for SharePoint Embedded including designing security and authorization, implementation of CRUDL like operations, designing API endpoints and primitives of SharePoint Embedded. As one of the early engineers working on this, I have been involved with creating Developer Relations documentation, creating tooling and example projects, and I have been involved with product discussions with early customers including leadership at Fortune 500 companies and Microsoft's legal and security teams.Technologies Leveraged: C#, .NET Core, LINQ, MS SQL, Python, Kubernetes, Docker, Azure Cloud

Working as a Consulting Software Engineer for Facebook Capacity Engineering and Infrastructure Data Science teams through Deloitte. Notably led the development of FB’s Hardware Analytics Platform.- Conducted User Interviews to create a backlog and prioritize work items.- Work with Business, Design, and Engineering- Launched new internal tools for C-suite execs, PM’s, and EM’s- Implemented Front End from Designers and created back end based on requirements from User Interviews- Involved in interviewing and onboarding new hires ranging from junior to senior engineers.Technologies Leveraged: React, Redux, Relay, TypeScript, GraphQL, Python, Hack (PHP superset), SQL, Presto, Hive, Highcharts, Figma

Worldwide, Oo

Contributing to projects and directed trainings under Machine Learning Guild Masters with academic and industry experience in the field.

Worldwide, Oo

- Served as interim team lead over Engineering and QA- I prioritized and assigned tasks, provided functional knowledge to QA, made design decisions both on Front End appearance and implementation and led a code merge of two separate codebases while keeping up with my regular engineering tasks.- Onboarded and mentored both junior and senior engineers new to the project- Worked with Business, Engineering, and QA teams- Developed Responsive web applications using Angular7/Typescript and Bootstrap for Front End and Java Spring and SQL for backend.- Made Builds and Deployments using Jenkins for Continuous Integration and Deployment.

Full Stack Web Development in a remote work setting. Using LAMP stack technologies.

Mechanicsburg, Pa, Us

I developed signal processing and motor control software for a responsive transradial prosthetic (arm/hand starting at the elbow) at a low production cost to make prosthetics that are accessible for quickly growing children at a more affordable price point along with a team of Biomedical, Electrical, and Software engineers.As part of the Muscle Activated Prosthetic Team, I prototyped in MATLAB, and developed production code in C++ on an Arduino using GitHub as Source Control.I developed the motor control module which interfaces with an embedded system. This system triggers based upon EMG signals generated by the users upper arm. I additionally contributed to the Signal Processing module by implementing the root mean square with outlier dropout algorithm which greatly improved the signal/noise ratio of our EMG input.I helped to normalize the use of Git Version Control, and other auxiliary, quality of life, functionality such as battery level indicator lights.During my tenure on this project, we shipped 2 functioning prototypes of the product to our client and adapted our designs based on user feedback.We worked with our industry partner Ability Prosthetics and Orthotics (now Ottobock)

Worldwide, Oo

Working in Technology Consulting Division utilizing HTML, CSS, Java EE, SQL, Twilio API, and TwiML Programmable Voice for Natural Language Generation to create a batch job validation and notification system for support teams.The notification system identified which job failed and called the supporting dev on rotation with an automated call detailing the failed job and common solutions to fix it.It also generated a report of which jobs ran and details of the run including the jobs status and run time which saved the team 4 hours a week from their previous method of report generation.

Alphen Aan Den Rijn, Nl

Integrated various Amazon Web Services, including Amazon Quicksight and Redshift, to create BI analytics dashboards with the intent of gathering data and conducting a cost-benifit analysis of replacing the companies current BI solution (Tableau dashboards).In addition to evaluating the business case of transitioning to Quicksight, I was also in a client-facing role where I, along with a Data Scientist, met with clients and designed new analytics dashboard prototypes.This project involved many skills required as a Data Analyst/ Data Engineer including data preparation from raw data to produce usable data sets, feature engineering, and developing usable analytics from the data which are easily consumable by management and clients to inform data-driven decisions.In addition to AWS and Tableau, I gained real world experience with Python and different dialects of SQL and different Servers including T-SQL on MS SQL Servers and PostgresSQL, on Amazon Redshift. Additionally I worked in an Agile/SCRUM environment and used workflow tools such as JIRA and Confluence.

Mechanicsburg, Pa, Us

Researched and developed simple applications using various mobile technologies including Android Studio and Xamarin, generated user stories, and produced mockups of applications in a SCRUM/Agile environment.

Master Of Science - Ms, Computer Science

Bachelor Of Science (Bs), Computer And Information Sciences | Mathematics And Philosophy Minors