Resume

Experience

1. 2023 – now

   Senior Product Design Engineer

   Apple: Vision Products Group · Cupertino, CA

   • Leading product design for display systems on Apple Vision AR/VR.
   • 10 patent filings, 2025 – 2026.

2. 2020 – 2023

   Product Design Engineer

   Apple: iPhone and Apple Watch Displays · Cupertino, CA

   • Led architecture, design, and reliability performance for iPhone 13 mini and Apple Watch Ultra 2 displays.

   Internships: Mechanical Engineer, iPhone and Apple Watch Displays

   1. Summer 2019

      • Designed a robust hardware and software package for instrumented dynamic impact testing of displays.

   2. Summer 2018

      • Developed an electro-opto-mechanical fixture for 6-axis, sub-micron, programmatic alignment of a device.

   3. Jan – Aug 2017

      • Drove failure analysis and designed experiments to determine the root cause for the highest risk display issues faced during iPhone 8/8+ development.
      • Directed a study to evaluate the parameter-space, effectiveness and vendor-side application of new methods to test fracture strength of OLED passivation on Series 2, 3, and next-gen Apple Watch displays.
      • Analyzed SPC data and implemented corrective actions for process deviations on iPhone 8/8+ display builds.
      • Built a widely used application to drastically improve engineers' efficacy in synthesizing FAI/SPC build data.

3. Jan 2016 – 2017

   Bio-inspired Robotics Researcher

   UC Berkeley CiBER Lab: Dr. Robert Full · Berkeley, CA

   • Led the construction, design, programming, testing and documentation of an under-actuated robot as part of a research project to mimic the mobility and dynamic turning of lizards.
   • Designed robot in SolidWorks, programmed in Arduino. Constructed using a laser-cutter and ProJet 3D printer.

4. Summer 2016

   Engineering Intern

   Leidos: Surveillance and Reconnaissance Division · San Diego, CA

   • Developed pseudo-data generation algorithms in MATLAB and Python as an alternative to cross-validation, to provide a robust method of determining a machine learning classification algorithm's error on new data.
   • Executed spectroradiometric tests, thermal calculations and analysis, 3D modeling, FEA and presentations to iteratively design printed circuit boards for demanding military vehicular application.

Projects

1. Jan – May 2018

   Built to Tilt

   Senior Capstone Project: ME 102B

   • Derived analytical models, wrote electromechanical component code, and drove the assembly design and fabrication for a beautifully intricate, survival-based arcade game.

2. Spring 2016

   1st Place: Large-scale Water Condenser Design

   UC Berkeley-wide $12k WaterSEER Design Competition

   • Led a team of five to the 1st place prize, driving the creation of a proof of concept design for a device which passively condenses water from the air.

Education

1. 2014 – 2019

   University of California, Berkeley

   M.S. Mechanical Engineering

   Dec 2019

   B.S. Mechanical Engineering

   Dec 2018

Skills