Who I am
I am a systems engineer, technical leader, and independent researcher working across two connected trajectories: complex systems engineering and neural prosthetics research.
Professionally, my work focuses on systems engineering, technical execution, system integration, and integrated lifecycle management. As a Systems Engineer at General Dynamics Electric Boat, I support multidisciplinary engineering programs by coordinating technical work, organizing requirements and engineering information, managing interfaces and technical issues, supporting verification activities, and developing repeatable structures that strengthen project visibility, ownership, and continuity.
I have also completed MIT xPRO’s four-course professional certificate in Architecture and Systems Engineering: Models and Methods of Complex Systems. Through this program, I applied Model-Based Systems Engineering using SysML and CATIA Magic/Cameo Systems Modeler to develop system architectures, requirements, behaviors, interfaces, and verification models. This experience strengthened my ability to connect engineering analysis, technical documentation, and lifecycle execution within a traceable system model.
I 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 develop 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 developing technologies and frameworks that connect engineering purpose with meaningful human impact.
Professional Philosophy
The measure of leadership is not how indispensable the leader becomes, but how effectively others are equipped to execute because knowledge is organized, ownership is established, and work is documented and understood.
Effective frameworks create clarity, enable sound judgment, and continuously evolve through learning, collaboration, experience, and continuous improvement.
Their purpose is to cultivate understanding. Understanding enables sound judgment. Sound judgment enables effective execution. Effective execution produces continual learning, which in turn refines the framework.
What I’m Building
Current Focus & Future Direction
My current work is centered on three connected areas: improving how complex engineering programs are executed, advancing the practical application of Model-Based Systems Engineering, and contributing to research in neural prosthetics and 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
II completed MIT xPRO’s four-course professional certificate in Architecture and Systems Engineering: Models and Methods of Complex Systems, where I applied SysML using CATIA Magic/Cameo Systems Modeler to develop requirements, architecture, behavior, interfaces, and verification models for complex engineering systems.
My focus is not simply on producing diagrams, but on understanding how requirements, system architecture, interfaces, behavior, verification activities, and technical decisions can be connected within a coherent and traceable model. This perspective strengthens how I approach system decomposition, multidisciplinary communication, technical analysis, and the development of a more continuous digital thread.
Going forward, I am exploring how MBSE can be integrated with engineering execution, information management, and lifecycle coordination to create a more connected technical environment. My objective is to use the system model as a working engineering resource—one that improves traceability, exposes relationships, supports technical decisions, and evolves alongside the system throughout its lifecycle.
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.