Flexible and Live Adaptive Training Tools (FLATT) SBIR· Creating an intuitive UI to rapidly prototype and evaluate real-time adaptive interventions in order to increase the effectiveness of training solutions · Responsible for contract deliverables, staff planning, customer meetings, commercialization approaches, guiding technical lead, UX feedback· Managed a team of full-time software engineers, part-time interns· CMMI Maturity Level 3 project

Synthetic Training Environment Training Management Tool (STE TMT)· Guided engineering to integrate GIFT into STE-TMT including approaches for communication, data lake artifacts, learner records, domain agnostic architecture, Battledrill automated assessments and After Action Review.· Managed a team of full-time software engineers

Generalized Intelligent Framework for Tutoring (GIFT)· Designed and developed the service oriented architecture starting from a concept paper· Managed a team of software engineers, research assistants, and interns · Maintained high quality work products and team cohesion across the recent transition of full-time in the office, to full remote, to hybrid· Engaged with multiple customers, other companies, and GIFT community of over 2,500 users multiple times a week to support ongoing work, research, feature requests and issues· Guided development of, reviewed and integrated deliverables from the customer’s other projects/contractors working with GIFT· Managed the full lifecycle of a publicly available, open source software with 20 releases since 2012· Supported demonstrations of software at military facilities, conferences, and virtually· Provided reliable cloud services on edge and AWS servers· Integrated third party technology into framework including biometric and environment sensors, virtual training applications, mobile app, learning management systems, databases, and libraries· Performed performance and scalability tests using automation and Amazon MTurk workers, manually checked on performance using Grafana dashboards· Built tools to extract events to facilitate research and analysis in Excel/SPSS · Implemented over two dozen automated, real-time assessment AI algorithms to help instructors· Integrated several Reinforcement learning (Machine Learning) policies that determine the best remediation activity· Routinely worked on defining IRB approved user study plans, develop the necessary software solution to collect data, conduct training with participants, analyze data, implement model and validate model· Organized mentorship program and onboarding approaches for new engineers to maximize success· CMMI Maturity Level 3 project · NTSA Education/Human Performance Team Award for Outstanding Achievement in Modeling and Simulation Award in 2019

· Gunnery Training using OneSAF (2010-2011) – tailored OneSAF to support authoring, executing and communicating to a third party application popup targets with varying levels of difficulty and situations· Tactical Terrain Analysis iOS App (2009-2010) – provided situational awareness and mission rehearsal using terrain services

· DARPA Deep Green – responsible for dynamically instantiating over a dozen distributed OneSAF nodes to rapidly simulate a battlefield course of action (MSDL) under varying conditions and permutations to efficiently and accurately predict possible future outcomes of commanders’ decisions. · DARPA Urban Challenge – integrated OneSAF into the autonomous vehicle’s agent architecture to simulate real world scenarios including traffic, intersections, speed limits, GPS and navigation.· OneSAF – developed SAF behaviors, extended Management and Control Tool (MCT), created Tablet UI to externally control SAF, commanders view, non-lethal weapons and crowd behaviors, cultural factors implementation, integrated AI.Implant engine to augment SAF behaviors