• Supporting 39 graduate students in applying project management frameworks (risk planning, RACI, OCM) to engineering projects.

• Mentoring teams in MS Project, Gantt charts, and risk matrices to improve planning and execution.

• Facilitating collaboration and conflict resolution using structured team development models.

• Created high-fidelity CAD models and technical animations to visualize end-to-end manufacturing processes, improving clarity of complex production workflows.

• Modeled and illustrated core manufacturing methods including injection molding, metal casting, machining, metal forming, and joining.

• Translated detailed written and verbal production scripts into accurate 3D engineering visuals using SolidWorks, NX and Blender while collaborated with cross-functional teams to ensure technical accuracy, manufacturability representation, and clear communication of process intent.

• Strengthened expertise in design for manufacturing (DFM), process visualization, and engineering communication through real-world production scenarios.

• Assisting the Philharmonics design team ( part of The Musicians Club) in designing various instrument accessories.

• Reverse-engineered and developed analysis-ready CAD models for 100+ trumpet mouthpieces using precision measurement and geometric reconstruction, performing iterative micro-adjustments for design optimization, tolerance control, and manufacturability (DFM) across materials including brass, aluminum, and rapid-prototype plastics.

• Supported the design and development of a trumpet carrying case within a fast-paced, dynamically shifting environment—applying material selection, tolerance refinement, and user-centered mechanical design to enable rapid iteration and production-ready outcomes under tight timelines.

• Designed and assembled GD&T-compliant Special Purpose Machines (SPMs), including an Automated Paper Feeder and Automated Hydraulic Press, using SolidWorks to replace manual operations and increase production efficiency by 30%.

• Re-engineered manufacturing workflow and machine layout through process shadowing and bottleneck analysis, reducing end-to-end operational cycle time by 12% while improving repeatability and operator independence.

• Applied DFMEA and reliability-focused design improvements to existing machine systems, reducing predicted failure probability from 7% to 0.5% and strengthening production robustness for scalable manufacturing.