How I Lead Projects

Structured Planning

• Define clear objectives, scope, and success criteria for each phase.

• Break work into trackable deliverables with agreed owners and due dates.

• Build timelines that capture technical dependencies, decision points, and verification steps.
  
  

Risk-Aware Execution

• Identify technical, schedule, and operational risks early.

• Use simple probability–impact scoring to prioritize and communicate risks.

• Develop concrete mitigation actions: design changes, tests, vendor options, or process controls.

• Review and update the risk register regularly with stakeholders.
  
  

Cross-Functional Collaboration

• Facilitate communication between design, analysis, manufacturing, test, and quality.

• Translate technical discussions into actionable tasks and decisions.

• Prepare concise summaries for leadership, highlighting risks, options, and recommendations.

Tools & Systems I Use

• Jira – project boards for R&D, testing, and manufacturing; Epics/Stories/Tasks; dashboards for status & risk.

• Confluence – project spaces, decision logs, risk registers, TRR/CDR pages, and lessons learned.

• Epsilon3 / Test frameworks – structured test procedures, run records, and configuration tracking.

• Data & Documentation – Excel/Python for simple analytics; disciplined use of folders and naming for traceability.
  
  These tools help create a single source of truth, avoid surprises, and keep everyone aligned.

Example Project Themes

• Composite System Qualification

• Insulation & VPI Process Development

• Mixed-Mode Shear / Compression Test Program

What This Means for Future Programs

• Provide clarity in plans and communication

• Maintain discipline in risk and configuration control

• Enable confident technical decisions based on evidence

This combination of engineering depth and structured project leadership is what I bring to large-scale programs.

Leading High-Tech Engineering with Precision

Combining advanced simulation, experimental evidence, and structured decision-making to reduce uncertainty in complex systems.

Core Technical Strengths

Advanced Simulation

• Nonlinear structural analysis and impact / crash scenarios using tools such as LS-DYNA, Abaqus, and ANSYS.

• Composite modeling, including orthotropic behavior, progressive damage, and interface modeling.

• Correlating models with test data to build confidence envelopes, not just pretty contour plots.

Experimental & Process Insight

• Design of mechanical test programs (tension, shear, compression, mixed-mode) based on relevant standards.

• Experience with cryogenic testing, composite manufacturing, and VPI processes.

• Ability to translate lab observations into model updates and design recommendations.

Data-Driven Decision Making

• Use simple, clear metrics (margins, safety factors, sensitivity) to support or challenge design choices.

• Present results in a way that non-specialists can understand: “What does this mean for risk, cost, and schedule?”

How This Supports Project & Risk Management

Technical precision is only useful if it helps projects move forward.
I use my engineering background to:

• Identify realistic failure modes and constraints early in the design.

• Quantify uncertainties and their impact on performance and schedule.

• Propose practical mitigations—design changes, tests, process improvements—ranked by impact and effort.

• Support formal reviews with evidence instead of opinion.

Example Work Themes

• Simulation-Backed Design Trade Studies

• Bonding & Interface Behavior in Composite Systems

• Flow, Cure, and Residual Stress in Insulation Systems