I have returned to consulting for government, large private enterprises, and small businesses. I landed new commercial contracts that allowed me to work directly with Microsoft debugging and refining their newest high-performance cloud servers for inferencing/ML models. I completed this work for Microsoft in early 2024, and immediately their clients were able to drop operating costs for national-scale AI image processing from over $50K per month to less than $2K per month – an actual 30X decrease in operating cost with 2X increase in throughput. It has been a huge success. I have established this approach and now it is ready for other customers. Consulting has also been an opportunity to address several publishers’ requests to author new technical manuscripts. I have a new 200 page textbook entitled "Generative AI for Cyber Securing SCADA - Essentials and Strategies" in production w Packt> Publishing in London. Watch for it to be released first thing in 2025. And, while I have been a pioneer in applied Reinforcement Learning, I continue to add to my professional certifications for this powerful problem-solving and optimization technique, and its implementation in Azure cloud.

Sr. AI/ML Solution Architect - Avanade/Accenture SISALed the design and implementation of advanced AI and machine learning solutions for diverse clients, driving innovation and efficiency across various industries.Developed and deployed scalable AI models, leveraging deep learning and natural language processing to solve complex business problems. Collaborated with cross-functional teams to integrate AI and ML capabilities into existing systems, enhancing functionality and performance. Showcased this with a large North American appliance manufacture, leveraging NLP/NLU to mine a wealth of product design improvements directly from 75 years of customer service data. This included designing bespoke ML models to forecast increases in customer service calls so that staffing could be adjusted.Provided strategic guidance on AI adoption, helping clients navigate the complexities of AI technologies and achieve their business objectives. Showcased this with a large tax preparation service in North America. Worked directly w Microsoft to leverage their latest AI Vision systems to build all new cloud-based comprehensive tax form OCR. Conducted workshops and training sessions to upskill teams on AI/ML best practices and emerging trends. Taught expert courses in ML modeling for engineering problems, and best practices for designing generative AI solutions. Played a key role in securing high-profile projects by demonstrating the value of AI-driven solutions to stakeholders. Applied this to both energy utility industries and health care industries.As a leading academic researcher I engaged with industry leaders to help them stay at the forefront of AI advancements and incorporate cutting-edge AI and ML techniques into new solutions.

Spearheaded the redesign of the Knifefish heavy AUUV guidance computer, achieving a 70% cost reduction, 60% lower power consumption, and a 400% increase in compute capability, enabling more complex behaviors.Led research and development in AI-based autonomy for individual and multi-vehicle swarms, creating innovative ML algorithms and robotic agent behaviors. Focused on intelligent agents, reinforcement learning, and optimized route planning. Developed systems for smart loitering munitions, autonomous surface vessels, and undersea mine countermeasures.Supervised academic collaborations, developing decentralized teaming and swarming behaviors for edge-computing devices and implementing the first generative-AI-based 'Commanders Intent' for generative orders to mixed manned/unmanned teams.Adopted model-based systems engineering to facilitate smoother transitions to production systems.Engaged directly with DARPA, ONR, NRL, ARL, and AFRL Program Managers.

RESPONSIBILITIES:Served as the Chief Science Officer and Systems Engineer, refining and integrating the individual components in a fleet of small Unmanned Aircraft Systems (sUASs). ACCOMPLISHMENTS:- Authored, proposed, landed, and served as PI for fifteen (15) successful SBIR/STTR projects through Phase I, Phase II, and Phase III stages. Sponsors included US DoD, US Navy, USMC, USAF, DARPA, US DOE, US DOT, SPAWAR, SOCCOM, NSWC, NAWC, and others. - Designed & engineered specialized autonomous behaviors and instrumentation for a variety of applications.- Designed and Constructed a fleet of sUASs specifically for land cover surveying supporting precision agriculture and land and resources management. Developed novel new remote sensing approach to measure surface water clarity gradients) at near on-demand responses for resource managers and state agencies. - Developed a comprehensive UAS Pilot and Mission Control Specialist Training Program for US DOE to train first generation of DOE UAS operators.

RESPONSIBILITIES:Principal Investigator and Director of Experimental Micro-sensor Program.ACCOMPLISHMENTS:•Developed complete R&D program for experimental micro-sensors, including fabrication, interfacing & integration, and introducing nano-materials, MEMS techniques, and advanced intelligent signal processing. •Developed new basic research and engineering capabilities for experimental micro-sensor development – specializing in hybrid thick-film/thin-film fabrication and chemical detection. •Managed all activities involved with successful project completion – proposal writing, planning, budgeting, technical execution, reporting, and publishing. •Developed specialized high-performance software for signal processing, signature identification, and complex pattern recognition to support experimental instrumentation development•Developed advanced sensors for adaptive robotics and intelligent automation. •Designed and develop microcontroller and microcomputer-controlled smart data acquisition systems that require specialty software development. •Developed experimental military-use sensors for the U.S. DOE, DoD, and DHS. •Designed and directed construction of specialized Micro-sensor Fabrication and Evaluation Laboratory, including participating in U.S. Army-required ISO-9000 certification. •Invented and patented new broad-spectrum chemical analysis methodology – gas-phase voltammetry. •Designed and patented methodology and family of smart and robust chemical sensors for DoD and industry applications. •Received "R&D 100" Award for outstanding innovations in the field of research.•Designed advanced Sensor Algorithm Engineering methodology – “Sensometrics” for U.S. DOE NN-20 Nuclear Nonproliferation Advanced Concepts

RESPONSIBILITIES:Designed, implemented, and supported scientific and administrative computing systems for research division of 170 staff and employees. ACCOMPLISHMENTS:•Designed and administrated parallel distributed high-performance computing cluster of Sun®, SGI® UNIX workstations – 30 platforms in all. •Designed and implemented Microsoft SQLServer-based information systems for research and administrative operations of division. •Trained & Supported department scientists using divisional computing facilities.•Supported division scientific and administrative staff through conversion from mainframes to networked PCs, and through several generational upgrades including Ethernet, fiber optic, wireless remote access, and cellualr access. •Trained all levels of users in Computer Security Measures, efficient use of both office and scientific computing applications, and advanced industrial process data acquisition. •Engineered software solutions in a variety of operating systems including all Microsoft® Windows versions, Solaris™/UNIX™/IRIX™/Linux™, and MacOS™, using a wide variety of programming languages including: Microsoft® Visual Studio™, Java™ (IBM® VisualAge™), C/C++, FORTRAN/77/90/HPF, fourth-generation languages such as Wolfram Research® Mathematica™ and Mathworks® MATLAB™, Simulink™, StateFlow™, National Instruments® LabVIEW™ (‘G’), and many assembly and microcontroller languages as needed.

RESPONSIBILITIES:Staff Computer Scientist for Energy Systems Division; developed PC and HPC scale sensor-enhanced computer predictive models and simulations for improved understanding and control of complex industrial and natural systems. ACCOMPLISHMENTS:•Introduced innovative computer data analysis, modeling, and visualization techniques to engineers and scientists. •Designed & implemented ground-breaking expert and decision support systems using commercial development software including ExSys® Corvid™, UTS®’s TKSolver™, and Wolfram Research®’s Mathematica™. •Implemented advanced artificial intelligence to models and decision support systems. •Integrated new sensing components into Geographic Information Systems (GIS) and Supervisory Control And Data Acquisition (SCADA) systems. •Developed complex high-performance research-oriented geographical information systems-based (GIS) natural systems models. Natural Systems Models included Markov-chain and genetically-optimized predictions of species propagation and migration, and effects of environmental (weather and climate change) elements on plant and animal species and habitats. •Improved efficiency and validation of gas cloud and atmospheric plume dispersion models for HPC (parallel) execution and large-scale spatial prediction of human and collateral damage, for refinery industry and FEMA emergency and crisis response. •Designed intelligent Supervisory Control And Data Acquisition (SCADA), and emergency and crisis management systems for international (South Korean) industry and the U.S. military. Involved leak detection and fast-rate plume dispersion (growth and movement) models in rural, industrial, and urban environments. •Developed applications for ultra-high-performance massively parallel computing systems including: Sequent® Balance and Symmetry™, iPSC/2® 129-CPU Hypercube™, Cray® Y-MP M90™ vector computer, and IBM® S/6000 128-node SP-2™.