Engineering DNA
Final-year Robotics and Manufacturing Engineering Technology student at Rochester Institute of Technology (Summa Cum Laude, GPA 3.81). I've led engineering projects that improved manufacturing efficiency, reduced assembly time, and brought automation systems to life , bridging product design, PLC-driven controls, computer vision, and Lean Six Sigma process improvement.
Technical Focus
- Product & Mechanical Design (SolidWorks, GD&T, FEA)
- Robotics, PLCs & Embedded Systems
- Computer Vision (YOLOv8, OpenCV)
- Lean / Six Sigma Process Optimization
Education
Rochester Institute of Technology
B.S. Robotics and Manufacturing Engineering Technology
GPA 3.81 · Summa Cum Laude · Aug 2021 , May 2026
Selected Experience
Cummins Inc.
May 2025 , Oct 2025Product Engineering Intern
Bloomfield, CT
- Investigated wear and flow restriction issues during 700+ hour durability testing of engine valve components; redesigned reset pin geometry to increase flow area and reduce wear at the pin-seat interface, improving long-term reliability.
- Refined simulation processes for 1/16" and 1/8" National Pipe Thread plugs by integrating physical test results with FEA, leveraging precision test tube design and CMM data to remove thread modeling needs.
- Designed and evaluated mechanical, hydraulic, and electrical solutions to optimize braking and exhaust valve sequencing, improving system reliability and operational performance.
RIT Additive Bio-manufacturing Research Lab
Jan 2025 , May 2025Research Assistant
Rochester, NY
- Developed image-based analysis tools to quantify hydrogel-to-metal adhesion performance, enabling systematic evaluation of surface roughness and heat-treatment effects.
- Automated image normalization and 2D surface roughness calculations in Python with OpenCV and Pandas, achieving an 80% decrease in processing time and markedly improving data visualization.
Inficon
Jan 2024 , Aug 2024Mechanical & Manufacturing Engineering Intern
Syracuse, NY
- Reduced assembly time by 67% and improved operator consistency by designing and implementing a pin-and-lock fixture, supporting process optimization and standardized work instructions.
- Decreased rework and scrap rates by implementing Poka-Yoke error-proofing solutions, reducing process variability.
- Enhanced operational efficiency in Class 1K and 10K cleanroom environments by leading 5S audits and implementing corrective actions to support Lean Manufacturing.