• Proficiently managed a diverse team of 25 AI/ML practitioners, imaging scientists, and data collectionspecialists, focused on developing threat detection models for Leidos SES body scanners, holdbaggage, and cabin baggage scanner products in a highly regulated space.• Transitioned algorithm teams to adopt Scrum Agile methodology within Azure DevOps (ADO),streamlining their workflow and introducing a structured process and work tracking system for enhancedefficiency and collaboration.• Established a long-term vision for the integration of cutting-edge technologies, such as generative AI,synthetic data generation, and advanced transformer models for threat detection, ensuring continuedinnovation and growth.• Led the implementation of based MLOps pipelines using Azure ML Studio, significantly enhancingthe team's capabilities and productivity, and increasing the body scanner team's throughput from onetrained model per year to over six per year.

• Managed a team of 12 software engineers engaged in 10+ EO/IR based C5ISR efforts for Army andFLEO customers.• Contributed to integration between classical detection and deep learning based AI/ML methods• Co-authored proposals and whitepapers based on C5ISR and simulation solutions.• Led efforts to implement and standardize DevSecOps and Digital Engineering practices.• Participated in top level strategic planning activities.

• Drove the growth of technical capabilities, conducting forward leaning R&D, ensuring rapid and successful transition of new IP into salable product lines.• Led a team of 10 data scientists, software engineers, FPGA engineers, and other subject matter experts in the development of new algorithms and methods to efficiently process RF data via GPU acceleration. Implemented proof of concepts in Python and C++.• Invented (co-inventor and primary inventor) new methods of analysis and storage of radio-frequency data using AI/ML techniques. 9 patent applications filed.• Developed experimental idea generation methods using GPT-2• Authored whitepapers related to AI, AI Ethics, and Unsupervised Machine Learning. Also developed new processes for organizational units to maximize team efficiency.

• Led multiple concurrent teams totaling 20 Software and DevOps engineers, enriching the talent pool of the organization through strategic hiring and talent development.• Served as Product Owner for the Wide Band Transcorder Product where I developed documentation, value propositions,competitive analysis and generated marketing copy to assist the sales team.• Developed algorithms to detect frequency agile signals in noisy environments from wideband SDR observations.

• Curated product line capabilities and expectations between the engineering group, sales, QA and production, seeing revenues of $20M+ before the end of 2017.• Managed a team of 10 engineers while performing software project and product line management, architecture, prototyping and implementation.• Created new high speed shared memory architecture capable of handling twice the throughput of the original Wideband Transcorder product while allowing other user applications created for the platform to interact with that data without performance penalties.

• Served as Engineering Lead for the Wide-Band Transcorder (WBT) Product Line• Led a team of 3 engineers to complete the initial release of the WBT product to the Mobile World Congress trade show in Barcelona, Spain within 4 months of hiring date.• Used C++ and Linux operating system expertise to create a fast buffered memory architecture capable of recording high rate SDR captures.

• Performed project management and software / systems engineering. Responsible for whole software development life-cycle (concept, requirements, design, implementation, QA and deployment)• Developed algorithms providing automated response to chemical and radiation sensor detection events.• Modeled, designed and implemented an SQL database back-end for the Remote Data Relay sensor system for the purpose of improving Common Operating Picture system representation.• Transformed the SENTEL’s Remote Data Relay Sensor Management Platform from a standalone application into an interoperable web based platform using AWS and the Microsoft .NET framework. Also developed and integrated an android based force tracker / sensor node using Java.

Performed troubleshooting and home networking tasks in store and on site.

Designed, and published websites for Spotswood Baptist Church