I am a senior at Duke University, pursuing a double major in Computer Science and Electrical & Computer Engineering. I'm also getting a certificate in Innovation and Entrepreneurship. I'm interested in the applications of both hardware and software in various fields. I have gained practical experience in these areas through past internships and personal projects. My previous internships were primarily in the IoT and wireless fields, where I had the opportunity to design, test, and analyze data from multiple devices and wireless protocols.
When I am not studying or working on projects, you will find me either at the gym or watching sports. I am a huge sports fan. My teams are Real Madrid and the Washington Commanders, and you will always catch me rooting for the Peruvian National Soccer Team whenever they play.
As I am graduating in the spring, I am actively looking for full time positions in both software and hardware fields.
• Developed an automated tool leveraging robotics, WiFi tests, and WiFi indoor positioning advancements (802.11az/802.11mc) to characterize Pixel WiFi performance in indoor environments
• Designed and implemented a system for simultaneous WiFi performance measurements across multiple devices, enabling comprehensive comparison of Pixel against competitors
• Generated detailed performance maps and visual analytics to identify patterns and areas of underperformance, informing targeted improvements to Pixel’s WiFi capabilities
• Evaluated the impact of various device and cellular tuning configurations on WiFi performance to identify areas for optimization
Tools and Skills: Python, Git, Linux, Android, WiFi, Networking, ROS2
• Researched and implemented an open-source LoRa network featuring multiple gateways across different frequency ranges to identify devices in various regions.
• Developed LoRa devices by combining commercial components with custom-programmed LoRa-compatible boards, using Python and Arduino coding.
• Collected and analyzed signal attribute data using deployed devices, contributing valuable insights for Machine Learning model refinement.
• Adapted and built upon an existing LoRa project via GNURadio, optimizing SDR ability to accurately demodulate uplink and downlink LoRa signals for enhanced performance.
Tools and Skills: Python, C, Git, Microcontrollers, Signal Processing & Analysis, Linux, GNURadio, LoRa, Arduino
• Designed and implemented a Man In the Middle (MITM) attack method for Bluetooth Low Energy, to develop anti-breach software
• Programmed and tested various devices to produce ZigBee signals, providing critical data for subsequent data collection and analysis
• Conducted rigorous testing and collected data for use in Machine Learning training, resulting is enhanced accuracy and efficiency of the system.
• Successfully integrated data from ZigBee signals into a MySQL database, developing effective parsing methods to ensure data accuracy and completeness.
Tools and Skills: Python, C, MySQL, Git, Linux, Arduino, Bluetooth, Zigbee, Microcontrollers, Soldering
Build a Robot that is able to complete various tasks such as autonomous movement, color identification, and metal sensing.
Kotline project that uses a Pokemon API to display random Pokemons, including a picture, name and the weight of each. This is done using a recycle view.
Previous Coursework:
• Data Structures and Algorithms
• Computer Architecture
• Signals & Systems
• Operating Systems
• Digital Systems
• Design/Analysis of Algorithms
Current Coursework:
• Embedded Systems
• Computer Network Architecture