Projects

Custom PWM + Timer Peripheral for FemtoRV SoC

Designing and integrating a custom memory-mapped PWM/timer peripheral for the FemtoRV RISC-V processor, enabling real-time waveform generation on the iCE40HX1K FPGA.

Built entirely in Verilog RTL with counter, comparator, prescaler, and auto-reload logic
Added a memory-mapped register interface for duty cycle, period, and control settings
Integrated the peripheral into the FemtoRV system bus and synthesized on the iCEstick
Wrote a lightweight RISC-V driver using a polling-based update method
Demonstrated functionality through LED fading and basic servo control

Indoor Path Localization Using Channel State Information
(EECS 498)

Collaborated on the design of a CSI-based indoor localization framework to identify occupant locations within a building during emergencies

Collected data across five distinct locations
Used a neural network model to predict device location from wireless packets
Achieved ~80% accuracy on training/testing data
Generalization to new data proved challenging only ~40% accuracy

This project was valuable as I learned about OFDM modulation and neural network design

Check out our presentation here

Smartwatch Project

Built a custom smartwatch by developing fully customizable firmware on top of a pre-designed hardware platform. This system integrates an accelerometer, touchscreen display, Wi-Fi, RTOS and power management.

I created this project for my startup to teach students how to design real embedded systems. This covers everything from low-level firmware to multitasking, sensor integration, and UI development. It serves as a hands-on, industry relevant introduction to embedded engineering

Autonomous Robbery Project
(EECS 452)

Designed an autonomous "cop and robber" RC car simulation

Demonstrated image and audio processing for autonomous vehicles
Used binary thresholding and a proportional controller for cop car
Created an amplitude-based audio detection algorithm for robber car

Adaptive Cruise Controller (EECS 461)

Collaborated to develop an embedded adaptive cruise controller with haptic feedback

Designed completely through Simulink
Auto-generated C Code
Run on an NXP microcontroller

This project taught me about real-industry practices with rapid prototyping

Magnetic Levitation Lab (EECS 460)

Collaborated to design a robust controller and deployed it on a magnetic levitation device

The two opposing forces were a gravitational force from the ball's weight and a magnetic force created by an induced current
Linearized system dynamics, calculated equilibrium point, and designed a PID controller with zero steady-state error and a settling time of 3 seconds
Added a pre-compensator to reduce overshoot, computed gain and phase margins, and simulated controller under various nonlinear simulations
Tested our controller and precompensator in a lab where we evaluated our system through multiple simulations
Created report to highlight design, results, and reflections throughout the experiment

You can view our final project report here

Musical Artist Identification (EECS 351)

Collaborated on a MATLAB program designed to identify a music artist based on their own songs, addressing the scenario of hearing a song without knowing the artist

Selected 10 songs from each of four different artists
Tested whether our program could match each track to its performer
Achieved ~77% frame per frame accuracy

This project gave me valuable experience with audio filtering techniques, audio fingerprinting, and machine learning

Check out our website here

Custom RISC ISA Toolchain: Assembler, Simulator, Linker, Runtime (EECS 370)

Built an assembler, simulator, linker, and recursive runtime for a custom RISC ISA, implementing instruction encoding, control flow, memory modeling, and stack-based execution
Created mutation-tested assembly suites that exposed buggy implementations and
Verified correctness, error handling, and architectural edge cases across the toolchain

You can view my projects here

Algorithmic Systems Design and Optimization Projects (EECS 281)

Designed and implemented end-to-end algorithmic systems using advanced data structures (heaps, hash maps, graphs, balanced trees) to solve large-scale search, optimization, and scheduling problems with strict performance constraints
Analyzed runtime tradeoffs and engineered optimized solutions through profiling, asymptotic reasoning, pruning, and careful memory management
Achieved correctness on complex edge cases while meeting time and space limits