Enthusiastic, highly adaptive, and inquisitive engineering graduate with experience in circuit design, lighting electronics, calibration and validation in the automotive industry, dc motor modeling, and more. I believe my professional and academic experience have provided a strong foundation for me to contribute towards projects for more efficient and effective advancements.
Designed an active LPF that provides a total gain of 40 dB. Software: LTSpice.
Designed switching function in logic circuits using various gates, MUXs, decoders, ROM, and PLA, allowing for circuit design analysis using larger circuit elements; allows for cost analysis. Software: Quartus, Logic Friday.
Designed a four bit 7-segment decoder logic circuit, displaying numbers 0-9. Software: Quartus, Logic Friday.
Implemented a sequential tail light controller (found on 1966 Ford Thunderbird & some Mustangs); including state diagram, state table, logic circuit diagram. Allowed for observation of a synchronous state machine.
Software: Quartus, Logic Friday. Hardware: FPGA Board.
Parameter identification, speed control to demonstrate and observe effects of changes on DC Motor. Software: LabView
Manipulated systems to observe behavioral and output responses, given a transfer function, by applying various MATLAB commands (unit step input, sinusoidal inputs of various frequencies), gaining insight on feedback systems in controls.
Implemented functions like modular programming, displaying text on LCD and activating LEDs, utilizing interrupts to observe the various functionalities contained and their usefulness to modern circuitry and design. Software: CodeWarrior.
Manipulated robot to observe functionality in LEDs, DC motors, SysTick timer, battery and voltage regulation, control systems, FSMs, etc. Software: Code Composer Studio (C language). Hardware: TI-RSLK Robot.
Designed a smart glove that remotely/wirelessly controls a robotic hand by mirroring the user’s gestures and feeds the data to a team-developed Android application. Software: Android Studio. Hardware: Raspberry Pi 4B, flex sensors, ADC MCP3008, LewanSoul Robot Hand.