- Collaborated on a daily basis with leadership, product management, engineers, and other cross-functional stakeholders to evaluate team goals and measure development/feature progress with KPIs (time, cost) in relation to product roadmaps.- Developed detailed customer experience requirements in Jira and conducted educational sessions with demos to instruct engineers in best practices towards utilizing Jira to its fullest potential.- Conducted scrum ceremonies to maintain product roadmaps, backlogs, dependencies, and customer escalations.- Led the migration of two development team groups and their ticket items between on-premises and cloud Jira instances. Utilized Artificial Intelligence to create scripts to identify data inconsistencies with speed and agility.- Defined and evaluated teams’ capacity, velocity, and sprint performance metrics, presenting outcomes to leadership.

- Conducted end-to-end release management of 15 global distributed engineering teams, including those developing enterprise Bitcoin software. Liaised with design, compliance, sales, and engineering teams on milestones.- Integrated product strategy with business objectives by deploying products and features internally, as well as leading teams to address critical customer security concerns such as the 2021 Log4j vulnerability.- Employed API implementation with Javascript, Python, and SQL to create KPI visualizations and action items to drive informed decisions and risk mitigation in daily meetings with executive-level leadership.- Programmed automated alerts hosted on AWS cloud services (leveraging APIs as well as SQL queries), resulting in a significant 900% risk reduction towards feature and product delivery, resulting in a cash award.- Streamlined internal team processes by deploying a consistent operating model for teams. Highlighted Agile, Lean, and Scrum, accelerating products time-to-market and instituting global data science workshops for efficiency enhancements.

- Documentation Enhancement: Transformed product documentation web page by incorporating insights from Google Analytics. Rebuilt the webpage by ranking sections by user viewership for improved usability and customer engagement.- Process Automation: Automated manual landing page updates, which reduced process time from days to seconds, leading to substantial time savings and increased efficiency.

Course Information: Technologies, Infrastructure, and ArchitectureCourse Description: Examined the basic concepts of local and wide-area computer networking, including services provided by networks, network topologies and hardware, packet switching, client/server architectures, network protocols, and network servers and applications.- Graded assignments, quizzes, and exams for over 50 undergraduate students- Performed one-on-one academic tutoring during weekly office hours- Guided students to install, configure, and use the Wireshark network protocol application

- Developed a Python recommendation engine for NASA’s Earthdata Search web application, using machine learning, to enable better data discovery of related information on multiple Earth science databases- Implemented a market basket algorithm (prototyped by Oak Ridge National Laboratory) to determine useful measures to rank and quantify relationship strength between data products- Created wireframes to show how recommendations could be integrated into the Earthdata Search web application, and assessed the design with user experience experts- Presented findings to twelve NASA DAACs (Distributed Active Archive Centres) throughout the United States during an online webinar

- Developed a robust integration and test suite of software tools, with two other team members, which processed all JPSS data simultaneously, both offline and in playback simulation- Compared two different science data processing tools to determine the optimal method of data analysis and evaluation for JPSS- Designed and coded software to analyse correlations between data parameters and to identify trends, diagnose potential problems, and determine appropriate solutions

- Created an adapter for the open source Cosmos application from Ball Aerospace; used to manage satellite systems by delivering commands to spacecraft, and by receiving telemetry data directly from flight software code - Wrote the Cosmos adapter in the Ruby programming language, and added three analysis capabilities to the tool set- Integrated Cosmos with GMSEC so that Cosmos-published data was optimised and accessible to other applications on the GMSEC framework

- Wrote Python code and used ENVI image analysis software to convert data from missions into commonly accepted IP formats (TIFF and RAW) and compared it with ground truth from the Apollo missions, to ensure improved and accurate registration of the images