Highlights:

• 30+ years of systems engineering experience across various aerospace, defense, and IT industries

• Highly proficient in Acceptance Test Plans (ATPs), Multi-Chip Modules (MCM), Requirements Development & Analysis, System-Wide Information Management (SWIM), Safety Assessment, Test & Evaluation, National Airspace Systems (NAS), Aeronautical Information Management (AIM), Functional Analysis, Reliability/Maintainability/Availability (RMA) Analysis, Enterprise Architecture, Modeling & Simulation, and DoD Architecture Framework (DoDAF) products

• Proficient with Agile methodologies, Confluence, DOORS, CAMEO, and Sherlock for system integration and management

• Provided system support on One System Remote Video Terminal Systems (OSRVT) for technical combat video capture and sharing

• Engineer lead for Naval Weapon Systems and FAA’s National Airspace System (NAS)

• Expert in requirements development, functional analysis, and enterprise architecture

• Proven ability to lead projects on advanced computing systems, missile defense simulations, and unmanned vehicles

• Developed and maintained system certification plans, integration processes, and safety hazard analyses

• Managed integration and test activities, applied RMA methods, and performed modeling and simulation for system performance validation

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Proficiencies & Technical Knowledge: Highly proficient in Acceptance Test Plans (ATPs), Multi-Chip Modules (MCM), Requirements Development & Analysis, System-Wide Information Management (SWIM), Safety Assessment, Test & Evaluation, National Airspace Systems (NAS), Aeronautical Information Management (AIM), Functional Analysis, Reliability/Maintainability/Availability (RMA) Analysis, Enterprise Architecture, Modeling & Simulation, and DoD Architecture Framework (DoDAF) products

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One System Remote Video Terminal Systems (OSRVT) for technical combat video capture and sharing

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Reference #: SYSENG-1072

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Highlights:

• Advanced Machine-Learning expert with a focus on developing innovative algorithms and models for DoD applications

• Brings a high proficiency in modern machine learning-based signal processing, statistical signal processing, and mathematical optimization, with a focus on applications in broadband beamforming and autonomous systems

• Has led several high-profile, DoD-sponsored projects, including the development of hardware-efficient broadband beamforming techniques & robust signal processing algorithms that are stable under hardware non-idealities, such as angular errors and quantization

• Developed innovative novel machine learning models for compressed sensing of multiband signals and distributed online broadband beamforming, able to significantly reduce data requirements and enhance communication efficiency in military applications

• Spearheaded a RF Channel Emulator project where cutting-edge machine learning techniques were applied to create a scalable real-time RF channel emulator, with results implemented in silicon

• Highly skilled in Python, MATLAB, and C, enabling the creation of complex algorithms for machine learning and signal processing tasks

• Has several peer-reviewed publications and patents covering digital RF emulation, real-time radar system emulation, and robust beamforming topics

• Has received several prestigious awards, highlighting impact and excellence of machine-learning research 

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Expertise & Technical Knowledge: Machine-Learning development for autonomous and manned combat vehicles (land, air, & sea experience). Takes function theory and develops innovative algorithms for working concepts to be tested.

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Software Proficiencies: Python, MATLAB, C programming, more

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Reference #: MLENG-2312

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Highlights:

• 20+ years of experience in electrical architecture, avionics, and system design, with expertise in UAV electrical systems for critical flight applications

• Extensive experience in designing, developing, and integrating electrical systems for unmanned aerial vehicles (UAVs) across land, air, and sea defense applications

• Expert w/ high-reliability design, brings expert knowledge as it relates to Electromagnetic Interference and frequencies (EMI), experienced with automotive PMICs, able to help lead the designs of PCBs collaborating w/ PCB design teams - experienced with MIL-STD-1275, MIL-STD-461, MIL-STD-464, MIL-STD-810, MIL-STD-882E

• Designs all electrical components and comfortbale leading teams, with a primary focus on air defense and custom electrical configurations for autonomous vehicles

• Has served as an Avionics Architect and Subject Matter Expert (SME) for multiple electrical programs, leading teams of 8-25 personnel

• Has led electrical systems design systems for well-known manned and unmanned air defense vehicles

• Patent Holder with several innovations in UAV electrical systems, noise reduction for aircraft, and solar power systems

• Experienced SBIR Proposal Writer resulting in Award wins focused on cutting-edge nano-materials and hybrid structural-electrical systems

• Was a lead engineer on a well-known aviation program, responsible for theorizing, designing, and integrating advanced electrical systems based on mechanical and autonomous requirements

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Reference #: ELECENG-1346

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