Internship Candidate · Summer 2026
Electrical Engineering student at Loyola Marymount University building at the intersection of hardware and software — from autonomous robotics to analog circuit design and embedded systems.
Programming
Design & Simulation
Lab & Hardware
Tools & Platforms
Built a Raspberry Pi-based robotic vehicle integrating servo motors, GPIO, and onboard sensors. Developed Linux and Python-based real-time control with PWM motor drivers, UV-based line tracking, and camera-based object detection.
Demo 1 — Line Tracking
Demo 2 — Object Detection
Designed and simulated a discrete two-stage op-amp using a CA3046 NPN transistor array and MPSA-13 Darlington pair on a ±10V supply. Achieved differential gain Ad = 400–500, input impedance Rid ≥ 20kΩ, and output impedance Ro ≤ 200Ω. Verified performance using Multisim Bode plots, CMRR measurements, and hardware testing on NI-ELVIS.
Modeled and tested an RLC circuit, analyzing transient behavior, resonance, and bandwidth through time and frequency domain measurements.
Designed and implemented digital state machine systems, verifying correct operation through simulation and hardware-level testing.
Developed an op-amp-based voltage regulation circuit providing stable, low-noise power for sensitive electronic subsystems.
Programmed a LabVIEW-based diode I-V curve tracer to automate measurement and visualization of current-voltage characteristics.
A complete collection of lab work from Junior Lab I (EECE-3100) at LMU — including pre-lab reports, post-lab write-ups, data sheets, and simulation files spanning 11 experiments in analog circuits, digital systems, instrumentation, and amplifier design.
Download E-Portfolio (.zip)Contains PDFs, data sheets & simulation files
Experiments Included
Loyola Marymount University · Electrical & Computer Engineering
Loyola Marymount University · Mathematics Department
LMU Conference and Events
B.S. Electrical Engineering · GPA 3.19
Coursework
STEM-focused residential cohort with weekly engineering seminars and visits to the Mount Wilson Observatory.
Designed an AI-driven food delivery business model using dietary data to optimize grocery selection and meal planning.
Maintained a full engineering course load while training, traveling, and competing in collegiate club athletics.
Open to Summer 2026 internship opportunities in electrical engineering,
embedded systems, or hardware design.
San Diego, CA · (773) 822-2849