Hello Neuralink

I have a year of industry experience and use my design skills to bring my ideas from concept to completion

I’ve completed co-ops at top engineering companies like Amazon Robotics and Desktop Metal, totaling a year of industry experience, where I learned how to operate in fast-paced environments.

When I led Northeastern University’s drone research club (NUAV), I brought my ideas from concept to completion. Peak examples include Tarsier and LIZARD. With Tarsier, I modeled in SolidWorks CAD a complex, 3D-printed bevel gear mechanism with 0.1mm of tolerance to move an Intel RealSense camera in sync with the pitch angle of our research drone. With LIZARD, I independently designed, modeled, prototyped, and tested five drone designs over seven months that resulted in an autonomous quadcopter platform 79% smaller than old club drones with a 4.1 thrust-to-weight ratio.

I can work with conventional machining and rapid prototyping

At Desktop Metal, I’ve applied machined aluminum parts on a conventional 3-axis mill, referencing the geometric dimensioning and tolerancing (GD&T) I specified in my SolidWorks technical drawings. I know how to work with fly cutters, end mills, zeroing probes, etc. to machine parts that meet tight sub-millimeter tolerances.

At the same time, I exercised rapid prototyping manufacturing methods by relentlessly running FDM 3D printers, SLA 3D printers, laser cutters, and water jets while I led Northeastern’s drone research club. With Tarsier and LIZARD, I 3D printed arm-joint assemblies for drone frames, laser cut wooden prototypes with tight, press-fit tolerances, and waterjet carbon fiber plates for lightweight, functional gimbal designs.

I understand engineering first principles

I am working on a personal project where a friend and I are 3D printing a BLDC motor with a partially complete stator to make our motor uniquely lightweight, yet functional.

I have surveyed and uncovered the best materials for the rotor and stator. I understand the governing differential equations of BLDC motors, use them to model torque simulations with pyFEMM, and find optimal stator-rotor combinations. I also intuitively understand and apply the core components of motor design, such as back irons, Halbach arrays, winding factors, slot-pole ratios, and more!

I’ve constructed a prototype and troubleshot its performance deficiencies. I’ve used ESP32 microcontrollers to test the behavior of the motor given different PWM input signals, and collected data through a hall-effect sensor, all to justify a robust motor solution.