•Developed an Azure Function that reduced latency by 89% in the IP-CoSell flow, lowering the p99 latency from 9 minutes to 1 minute. This significantly enhanced platform performance and reliability, empowering third-party publishers to tailor product offerings on Azure more effectively and is projected to boost Azure Marketplace's revenue.•Led the development of the Cut Over and Merge Spark module, ensuring seamless transitions between V1 and V2 data streams. This initiative streamlined data integration processes, reduced processing times, and improved overall system reliability.•Introduced and ensured the use of unit test coverage and data quality checks, fostering a culture of high-quality software development and reliability across the team. This effort improved code quality and system stability.• Designed and developed the Façade Layer, unifying data schemas across all downstream consumers. This consolidation eliminated the necessity for multiple disparate pipelines, resulting in the deprecation of three such pipelines, reducing resource consumption and streamlining the data consumption process.

•Enhanced the internal Rapid Review tool by integrating screen-sharing and video broadcasting capabilities. These features enabled more engaging and interactive presentations and program reviews, improving collaboration and communication within the team.•Developed live messaging and UI syncing features for the Rapid Review tool, which increased user engagement and satisfaction. These enhancements eliminated the need for third-party messaging applications and resulted in an 18% increase in user retention.

•Spearheaded the front-end development of the MVP for the Rapid Review tool. This project aimed to provide a comprehensive and user-friendly application for conducting rapid reviews of programs. I created a design guide and incorporated best practices in UI/UX design to ensure the application was visually appealing and easy to use.•Conducted thorough user research and interviews to understand client needs and preferences. This feedback drove the development of new features and modifications, ensuring the tool met user expectations.•Introduced and implemented best practices such as unit tests, integration tests, and CI/CD pipelines. These practices ensured high-quality and efficient development, improving the reliability and maintainability of the Rapid Review tool.

• Designed and implemented advanced features for the Parts Visibility Project, including the Multiple Part Search feature. This feature allowed buyers to search up to 1500 parts at once, saving buyers up to 8,000 hours annually and generating a 2% reduction in material purchases, translating to $200 million in savings.• Improved application performance by integrating API call caching across all products, resulting in a 52% increase in performance on average.

• Implemented features such as Quality Ratings, Vendor Ratings, COVID Vendor Map, Open Purchases, Vendor Filters, Vendor Information Page, and many more to the Parts Visibility Project.• Implemented features such as Unsaved Data Management, Tree Population with a Flat List to Tree Algorithm, Key Metrics Page with Tree Status Icons, as well as the entire frontend for the Design for Sustainment Project. DFS is a tool that can access initial design for sustainment coverage, recommend logistics support analysis, and validate key performance metrics.

•Developed a WordPress event calendar plugin, tailored for Lockheed Martin’s needs. The plugin was made available company wide with the goal of saving the company the time and hassle of using a generic plugin.•Developed a button generator plugin where users can create and edit website buttons. This plugin is currently being used in over 2000 pages, saving EO department money and hours of work by providing the ability of editing all instances of a button in a few clicks.•Developed a Splunk app that allows users to create beacon files effortlessly. The app gathers data from user input and outputs it as properly formatted JSON file. The app verifies if the data entered is compliant with Splunk’s requirements using Regexes. This application highly reduced the number of incidents received by the Splunk team.•Developed the Reddit module for LM Wisdom, where users can gather data such as posts, comments, replies and its scores in a few clicks.•Developed an output module for LM Wisdom where the data gathered is automatically sent to a data lake.•Developed front-ends for a myriad of LM products.

Skills acquired:*Teamwork mentality by working, and interacting with over 200 employees. *Excellence in hospitality by working at one of the finest restaurants in the country.*Extreme attention to detail by following Del Frisco’s philosophy, where every single detail has to be executed perfectly.*Multitasking in a fast pace work environment, by serving up to 1500 guests per night.