Electrical Engineer

Hardware and software design enthusiast.

Standing on the shoulder of giants to find technical solutions for your business.

ABOUT ME

I graduated summa cum laude from University of Miami with a BSE in ECE.

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I love figuring out the big picture while also learning concepts from first principles.

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My passions are vast! They include DSP, VLSI, full-stack, embedded systems, and much more.

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MY GITHUB

RECENT PROJECTS

01 Muscle Memory

  • Created a wearable device that predicts certain hand movements to use an input for general software applications.
  • Researched different stages of the analog filtering of surface electromyography (sEMG) signals to ensure ideal signal-to-noise ratio is within 80% of market standard.
  • Designing convolutional neural network (CNN) with PyTorch library on Python to classify hand gestures and movements that exceeds 90% accuracy.
  • Used Discrete Wavelet Transforms (DWT) to digitally filter the signals and improve predictive accuracy. Programmed an Adafruit Feather 32u4 microcontroller in C++ with low-power Bluetooth protocol (BLE).

02 Sunset Showdown

  • Used Node.JS, NGINX, and Google Cloud to host a top-down battle royale online game.
  • Front-end was programmed using Unity WebGL and various custom-designed assets were created.
  • Custom request/response types were created using native WebSockets in Javascript.

03 Virtuoso 4-bit Arithmetic Logic Unit

  • Used Cadence Virtuoso to design pull-up networks, pull-down networks, and transmission gates in 20+ modules necessary for 4-bit arithmetic logic unit (ALU) with a 5V power supply.
  • Performed DC and transient simulations to ensure ALU can drive load of a minimum of 0.1pF at 100MHz.
  • Conducted power simulations on the top-level ALU to ensure its consumption was minimized to approximately 1.20mW.

04 Biomechnical Labeling

  • Read through DeepLabCut documentation, a neural network specialized in labeling anatomy, for the purposes of labeling anatomical parts of mice with 95% accuracy, aiding in analyzing their behavior.
  • Coded a prototype on Python that analyzed the gait of a cat with a pre-trained model, paving the way for future code that can be used to train and analyze models for mice from sample videos taken in the lab.

05 Multichannel Galvanic Skin Response

  • Conducted literature review for a multichannel galvanic skin response (GSR) system which prevents disadvantages of habituation to diagnose patients with spinal cord injuries (SCI).
  • Reviewed amplifier design of 4+ schematics to measure the susceptance/conductance of current in skin.
  • Coded simulation in MATLAB to predict behavior of lock-in amplifier design and soldered components onto PCBs.
  • 3D printed a container for the circuitry using CAD software (with OnShape).

Contact Me