San Diego native studying Computer Engineering at UC Santa Barbara. My undergraduate foundation spanned core courses in circuits, computer architecture, and algorithms. I now focus my combined B.S./M.S. on embedded systems, hardware design, and building AI/ML agents with research and industry experience across Seek Thermal, General Atomics, UCSB Marine Science Institute, UCSB NLP Group, and the Barcelona Supercomputing Center. I have a passion for learning and solving problems.
View ResumeHere are some projects I have created in my free time, as well as in classes
Implemented a two-layer spiking neural network with triplet STDP learning in Verilog, demonstrating improved classification over pair-based STDP on low-frequency and burst spike patterns. Evaluated four hardware optimizations via ASIC synthesis on SkyWater 130 nm, quantifying area, power, and timing trade-offs.
Paper Slides
An LLM-powered coding agent with classical computer vision tools for precise image editing. VisionAgent uses object detection and segmentation to perform localized edits like recoloring, resizing, and moving while preserving background integrity, outperforming GPT-Image-1, Gemini, and Flux-Kontext on our 27-task benchmark.
Paper Slides
During a 3 month internship at BSC, we created poRTLe, a unified platform for benchmarking AI agents for RTL design. We also developed a high performing agent for the NVIDIA Comprehensive Verilog Design Problems (CVDP) benchmark.
GitHub Live Demo
We introduce a multi-agent framework where LLMs autonomously improve Catan gameplay by iteratively rewriting their own prompts and code, showcasing their potential as self-refining strategic planners and agent designers.
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Developed Cubesat and ground station with DIY Yagi Antenna with Angstrom Designs for space solar cell testing
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Measured language specific political bias across llm models, languages, and controversial political topics. This was direct inspiration for the project that achieved bronze in Cohere Labs Expedition Aya 2025.
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For our embedded systens final project, we developed a mountain bike trail grade monitor prototype with a NEXYS A7 FPGA using Vitus and Vivado.
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Repaired and constructed the watertight camera systems 'SMALLE' for the Oakley lab to film underwater bioluminescent ostracods.
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Neural Network and Machine Learning Classifier model built from UCSB Pinot video stream captures to identify Encrypted Videos
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STM32L476RG-Nucleo Microcontroller connected to Bluetooth HC-05, Stepper Motor, Temperature, and Accelerometer peripherals using UART, SPI, I2C, and DMA.
LED matrix display that was soldered then programmed with Raspberry Pi for a Hackathon that can ingest any video, GIF, or image and play it back in vibrant color across the panel.
Google Cloud website and database for music queueing for multiple people, and upvoting.
Tie Fighter stage 18ft wide, 12ft tall, built from wood and modeled in Blender
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Encoded FPGA with Verilog to display LED's with Thunderbird brake, go, turn, and hazards signals
