Ryan Durand

- Worked on a small team to completely overhaul the MRC quoting software to streamline the product and focus on automated quoting using the latest AWS technologies to manage security, stability, and scalability - Researched and created PoCs for various technologies to update the framework for MRC 3.0, including AWS Amplify, GraphQL, and DynamoDB - Helped create MRC 3.0 in under four months for IMTS 2022, at which it garnered a highly positive response - Created API integrations with Salesforce and Chargify to empower sales and marketing efforts - Worked with the Sales team to resolve customer issues and uncover desired features

- Worked for a machine shop in the aviation and aerospace industry helping their quoting team convert to the MRC 2.0 online quoting software - Continued full-stack development work on MRC 2.0 - Worked with the quoting team to determine required functionality and other helpful features to improve the quoting process - Worked on an SBIR grant focused on improving American manufacturing capabilities

- Was part of a small, agile team creating cutting edge online quoting software for the machining and manufacturing industry - Responsible for front-end and back-end coding and design utilizing AWS cloud technologies - Helped redesign the existing MRC 2.0 quoting product into a more focused and coherent quoting software - Created an API integration with Salesforce to improve data availability for marketing purposes - Worked with customers and industry experts to determine product requirements and features - Helped create a well-received demo for the IMTS 2018 tradeshow

Developed proof of concepts for the Office of the CTO at McAfee. Projects can vary in length from a few weeks to several months. Responsibilities included: • Researching core concepts/platforms/languages for a project. • Choosing which concepts/platforms/languages to focus on. • Creating a project design that meets the stakeholder’s requirements. • Implementing the project design. • Updating stakeholders on the project’s progress and timeline. • Documenting findings, results, and project environments. Projects • Explored the use of orchestration to automate security flows. • Explored the use of machine learning algorithms to detect suspicious network activity. o Spearheaded machine learning knowledge-base for team. o Project helped drive lateral movement detection technology in McAfee. o Worked with machine learning specialist to further designs and applications for the project. o Presented the project to customers at annual FOCUS event in '15 & '16 o Positive customer feedback to presentation lead to a reprioritization of the concept, including potential integration into future products. • Explored the use of Node.js on mobile devices for running a background application. o Made use of and modified the open source project JXCore to allow its JavaScript engines to run encrypted JS files for extra security. • Modified McAfee Endpoint Intelligence Agent to allow an unmanaged system to connect and communicate with a managed network. • Explored the use of the Apache Cordova framework to create modular, cross-platform mobile security applications. Other • Participated in several think tank sessions which resulted in IP patent submissions. • Participated in multiple strategic discussions about technologic areas of interest and future company direction.

• Developed a continuous integration process for an embedded system • Assisted in Software Requirement Specification development

• Developed a continuous integration process for an embedded system • Wrote test scripts using Python