Engineering leader building intelligent physical systems. I built and lead the Control Systems Engineering team at SharkNinja, a cross-functional group shipping sensing, control, and embedded intelligence into 30+ globally distributed consumer products. Inventor on 12+ patents (4 granted), author of 40+ peer-reviewed publications, IEEE Associate Editor and Technical Committee member. Previously Assistant Professor (SUNY Poly), Research Scientist (NTU Singapore), and Postdoctoral Researcher (Penn State). Ph.D., Penn State (2015).

Leadership & Impact

• Built the Control Systems Engineering function at SharkNinja from a single hire into a cross-functional team supporting 20+ product lines. Established the promotion ladder, code review culture, on-call rotations, and technical review process from scratch
• Delivered algorithms and embedded software into 30+ globally shipped products across coffee, beverage carbonation, thermal cooking, frozen treat, and Shark beauty systems (full portfolio)
• Built internal engineering platforms: Python-based MCU communication service, Raspberry Pi / Arduino HIL infrastructure, and evaluation frameworks used across product lines (portfolio)
• Driving AI-assisted engineering adoption: Claude Code, OpenAI Codex, and LLM workflows integrated into code generation, R&D ideation, data-analysis pipelines, and MCP-integrated Confluence documentation. Same headcount supports approximately 40% more concurrent projects (portfolio)
• Cut development cycle time by roughly 20% through modular software architectures and engineering process design, in a fast-paced consumer-products environment where product cycles are already short

AI-Assisted Engineering

Two initiatives at SharkNinja that together let the same team support approximately 40% more concurrent projects:

• Team-wide LLM adoption: standardized Claude Code and OpenAI Codex across the Control Systems team for code generation, R&D ideation, data-analysis pipelines, code review, changelog automation, and MCP-integrated Confluence documentation
• Internal AI product-diagnostic tool that lets non-engineers (product managers, QA, customer-support) ask product-specific questions and upload unit CSV telemetry to identify software or hardware issues, freeing controls-engineering bandwidth

See portfolio for details.

IEEE Editorial & Community Service

Associate Editor and Technical Committee member for IEEE events. Author, reviewer, and program-committee member across multiple IEEE conferences and journals. Active IEEE member; publications in IEEE Transactions on Automatic Control, IEEE TAES, Applied Energy, Knowledge-Based Systems (Google Scholar).

Selected Prior Roles

• Assistant Professor & Principal Investigator, SUNY Polytechnic Institute (2018–2021). Led externally funded research; taught graduate and undergraduate courses; deployed IoT pavement monitoring on Raspberry Pi + AWS (IEEE iThings 2021; portfolio). Also collaborated with CS colleagues on anomaly/fault detection research (portfolio). Co-founded Ocean Dynamex.
• Research Scientist, Nanyang Technological University, Singapore (2016–2018). Green Building Innovation Cluster. Distributed HVAC control platform (server plus Raspberry Pi edge fleet) achieving 12–13% energy savings in occupied buildings (Applied Energy; portfolio).
• Postdoctoral Researcher, The Methodology Center, Penn State (2015–2016). Control-theoretic methods applied to behavioral health interventions.
• Ph.D., Penn State (2010–2015). From Data to Interventions: Using System Identification and Robust Control Algorithms to Design Effective Treatments. Advisor: Prof. Constantino Lagoa. Minor Ph.D., Industrial Engineering (Convex Optimization). (Portfolio: 10 papers linked.)
• M.S., Northeastern University (2008–2010). Vision Based Control of an Autonomous Blimp with Actuator Saturation. Advisors: Profs. Mario Sznaier and Bahram Shafai.

Expertise

Control: MPC • Distributed MPC • Robust & Adaptive Control • Nonlinear Control • Real-time Optimization • System Identification • Motion Control • Robotics & Computer Vision-Based Control (research and applied) Systems: System Identification • Sensor Fusion • Embedded Systems • IoT & Edge Computing • HIL Testing • Electromechanical Actuation Leadership: Team building • Roadmap & strategy • Cross-functional delivery • AI-assisted engineering (Claude Code, Codex)