Who I am
I am a robotics engineer, systems engineer, and independent researcher working across two connected trajectories: applied systems engineering and neural prosthetics research.
Professionally, my work focuses on complex engineering systems, technical documentation, system integration, and project visibility. As a Systems Engineer at General Dynamics Electric Boat, I support multidisciplinary engineering programs by coordinating system-level integration efforts, managing technical information, improving documentation workflows, and helping teams organize complex electromechanical systems into clearer, more traceable structures.
In parallel, I am expanding my systems engineering practice through model-based systems engineering coursework and applied MBSE projects. This work strengthens how I approach system decomposition, requirements traceability, interface definition, verification planning, and architecture development for complex technical systems.
I also consider myself a lifelong learner. I do not expect to enter every environment with all the answers, but I am confident in my ability to learn quickly, ask thoughtful questions, and adapt to unfamiliar systems, tools, and disciplines. I am prepared to provide leadership when direction is needed and to approach others as a student when they possess knowledge or experience I have yet to develop. That balance—initiative without ego and confidence without resistance to learning—shapes how I approach engineering, research, and collaboration.
Outside of industry, my independent research focuses on neural prosthetics, neuromusculoskeletal modeling, human-machine interfaces, and responsible human augmentation. My long-term goal is to help design prosthetic and assistive technologies that integrate naturally with human movement while prioritizing safety, adaptability, interpretability, and ethical development.
Together, these paths reflect the same core interest: understanding complex systems, organizing them clearly, and building technologies that connect engineering purpose with human impact.
What I’m Building
Current Focus & Future Direction
My current work is centered on three connected areas: improving how complex engineering programs are executed, strengthening the practical application of model-based systems engineering, and advancing research into human-machine systems. Although these efforts operate across different domains, each is driven by the same interest in making complex systems more understandable, traceable, responsible, and effective.
Integrated Lifecycle Management
I am developing Integrated Lifecycle Management, or ILM, as a practical framework for improving visibility, accountability, traceability, and knowledge continuity across engineering programs.
The framework brings together systems engineering methods, project execution practices, information management, technical analysis, lessons learned, and reusable templates. These resources support work such as stakeholder coordination, requirements management, risk and issue tracking, decision analysis, verification planning, action ownership, project closeout, and continuous improvement.
The supporting guidance and templates are being made freely accessible so that engineers, project leads, students, and developing organizations can adapt them to their own environments. They are not intended to replace integrated engineering platforms or organization-specific processes. Instead, they provide a structured baseline for teams working toward more connected, repeatable, and visible engineering workflows.
Model-Based Systems Engineering
I continue to expand my MBSE practice through formal coursework, self-directed projects, and applied system modeling.
My focus is not simply on producing diagrams, but on understanding how requirements, architecture, interfaces, system behavior, verification activities, and technical decisions can be connected within a coherent model. This work strengthens how I approach system decomposition, traceability, communication across disciplines, and the development of a more continuous digital thread.
As I continue developing this practice, I intend to explore how MBSE can be applied in ways that are practical, scalable, and useful to the engineers and stakeholders responsible for day-to-day execution. The objective is to use modeling as a working engineering method—not only as a documentation exercise.
Neural Prosthetics & Human-Machine Systems
My independent research explores neural prosthetics, neuromusculoskeletal modeling, machine learning, human-machine interfaces, and responsible human augmentation.
I am particularly interested in prosthetic and assistive systems that combine natural control, adaptive behavior, sensory feedback, and transparent decision-making. My long-term objective is to contribute to technologies that restore or extend human capability while maintaining a strong focus on safety, identity, accessibility, interpretability, and ethical responsibility.
This research represents the human-centered side of my systems thinking. It requires understanding not only how a technology functions, but how it interacts with the person using it, the environment around them, and the broader biological, technical, and social systems in which it operates.
Long-Term Direction
Over time, I intend to bring these efforts together through engineering leadership, consulting, education, and research.
Integrated Lifecycle Management provides a practical foundation for helping engineering organizations improve execution and preserve knowledge across the lifecycle. MBSE strengthens the technical methods used to understand, connect, and communicate complex systems. Neural prosthetics research extends that systems perspective into technologies designed around human capability, identity, and impact.
While these paths may appear different on the surface, they are guided by the same objective: creating structured and responsible approaches to complex problems, translating knowledge into practical systems, and ensuring that engineering serves a meaningful human purpose.