Lead teams of exceptional software engineers, data scientists, solution architects, and data integration engineers to design, develop, and implement machine-learning predictive analytics application on C3.ai's industry leading Artificial Intelligence and Machine Learning software platform delivering operationalized machine learning models to customer production environments.Lead product specification, design, development, and implementation of machine-learning predictive maintenance applications on the C3 AI Suite for the second largest U.S. electric power and natural gas company.• Conducted four production application go-lives and delivered four ML models to convert work order prioritization from scheduled-based to condition-based maintenance informed by asset risk, health, and criticality scores.• Led functional product specification, UX design, engineering implementation, performance testing, and deployment of four applications. Three applications focused on predictive maintenance, one on early warning solutions.• Developed an avoided cost benefit analysis model focused on the idea of good catches to quantify value gained from operationalizing ML models and implementing the predictive maintenance application in the customer production environment.Lead commercial engagements and deliver AI/ML solutions to customer enterprise environments through the C3 AI Suite platform, supporting both an Electric Power Transmission & Distribution organization and a Fortune 100 FinTech organization.Translate executive customer stakeholder AI/ML use cases into product specifications, quantify and track business value and work across business and technical teams to drive successful delivery of AI/ML enabled software applications.

Led Cyber Reconnaissance and Analytics engagement teams to conduct large-scale data science analytics, applied graph theory and advanced cyber threat hunting strategies in an assessment of external cyber threats to global organizations.Managed data scientists, software engineers and data analysts on a research and development project supporting a DoD client to provide advanced analytic workflows built around statistical models and machine-learning to discover and identify anomalous behaviors in network data.Developed and led data visualization efforts through Tableau, Python and open-source packages to accurately depict vulnerabilities and risks to clients and to identify patterns of behavior, analytic insights, and trends over time. Applied expert knowledge of cyber security to craft queries and to develop targeted algorithms using high-performance computing to provide rapid response against malicious cyber actors and generate observations of abnormal network behavior.Conducted technical analytics to network flow data records to identify malware, beaconing, botnet and malicious or anomalous activity.Fused technical information from global open-source, internal and external data streams for polished and actionable client deliverables.Worked at the ground level in the collection, parsing, collating, and analyzing both structured and unstructured source data for clients.

Briefed and advised executive staff, directors and principal partners across interagency organizations as the defensive cyberspace operations subject matter expert (SME) on long term cyber security strategy, direction, policy and planningAdvised Commanders, executive leadership and Chief Information Officers during incident response and proactive cyber threat hunting operations to drive operational outcomes, limit cyber risk to the DoD and better defend enterprise cyber key terrainLed critical, executive driven projects end to end to further the expansion of DoD infrastructure and generated creative solutions to unique data analysis problem sets for defensive cyberspace operations. Owned information technology assets to enable remote operations for multiple national cyber protection teams to support a 1,500 personnel Cyber National Mission Force (CNMF) under U.S. Cyber CommandSelected to serve as the Mission Director, leading four Cyber Protection Teams in a global, proactive defensive cyberspace operation to hunt nation-state malicious cyber actors in support of U.S. Cyber Command’s defend the nation mission in a high priority area of responsibilityServed as CNMF’s Systems Planning and Engineering Cell Lead to manage all defensive cyberspace operations infrastructure projects in support of commander’s highest prioritiesSuccessfully coordinated the installation of remote operations infrastructure installation in four disparate locations on-time, enabling critical systems capability for 702 cyber security experts and 18 national cyber protection teamsOwned and maintained a $1.7M budget to build cyber security expertise and acquire specialized and unique information security analytic tools to support 236 cyber security professionals across 12 cyber mission force teamsHand-selected out of 1,500 personnel by the CNMF Commander to develop and lead a talent recruiting program in an on-going effort to grow U.S. Cyber Command's 6,200 Cyber Mission Force

Served as one of the first Mission Commanders for U.S. Cyber Command’s Joint Cyber Attack Team targeting terrorist organizations in support of the Countering Adversary Use of the Internet (CAUI) Executive OrderLed 72 personnel in joint cryptologic operations onboard global signals intelligence platforms in the collection of signals of interest driven by unique national and foreign partner strategic objectivesProvided technical and tactical signals intelligence expertise in support of information operations for naval platforms and elements operating in Naval Forces South and Naval Forces North areas of responsibilityProvided technical and tactical signals intelligence expertise in support of foreign collection requirements for interagency assets operating in tailored areas of responsibility.