Brian Guzman Cosme

Work Experience

Software Engineer II & III

03/2021 - present

• Developed a radar data processor library in C++ utilizing multithreads to handle multiple channels, successfully handling speeds up to 100Gbps.
• Completed 100+ tasks in C++ across embedded, library development, and UI components, ensuring efficient collaboration and timely delivery.
• Implemented C++ algorithms for Constant False Alarm Rate (CFAR), motion compensation, and platform navigation status. Achieved near real-time processing capabilities for live data and graphic interpretation.
• Developed a UI using C++/QML to manage and control hardware radar system needed for real-time test bed and flight tests. Successfully created a multithreaded program for backend and frontend processing which incorporated features such as mapping, target location, control command transmission, graphical plotting, and board status.
• Led & developed a FPGA embedded code to regulate clock timing outputs of boards for electrical components control. Successfully speeded up the testing process by 33%, and saved over $100K.
• Leveraged MATLAB to develop custom scripts for analyzing binary data, enhancing the data processing workflow by 40% and model validation accuracy by 25%.
• Designed and implemented a custom WinForms C# control for interfacing with FPGA hardware, including the creation of an Interface Control Document (ICD), which enabled real-time data visualization and facilitated rapid development.
• Supported system integration across multiple work sites by integrating and validating embedded and control software dependencies, ensuring successful communication between hardware components.
• Developed a Linux UDP server API in C++ for retrieving system size information, including memory and storage capacity, which provided real-time system diagnostics and improved monitoring capabilities.

Data Analyst I

10/2018 - 03/2021

• Led $247M radar study/18 members; oversaw system technical scope analysis for 75-mbrs, enabling operation personnel workflow, while saving $1B research program.
• Conducted thorough statistical analysis and data fitting using MATLAB. This refined approach resulted in a 15% increase in model accuracy, making the predictions more reliable and actionable.
• Mentored/trained performance programing tools, which facilitated in capability analysis, decreased production time by 40%, and boosted over 20% resources while improving production by 50%.
• Won group award for Rookie of the Year, building level award nominee; briefed and provided key findings by collaborating with cross organizations supporting over $40B overall programs.

Procurement Engineer (Apprentice)

08/2017 - 06/2018

• Led the development of the software for an Arduino-based control system with a display to manage a turntable, focusing on achieving EMC compliance. Successfully controlled the turntable and managed signal suppression, ensuring the device met all EMC standards.

08/2016 - 01/2018

Areas of Expertise

Technical Skills

Coding: C++, Python, Matlab, Html, CSS, Javascript, Php, SwiftUI, Qml, C#, WinForm, CMake, Rust, Wasm

Tools: Matlab, Fusion 360, EWIRDB, Qt, Github/GitLab, Wireshark, Visual Studio, Docker, Vagrant, SSH, TCP/UDP, Debugging, Jira

Comunications: Bilinguial (English, Spanish)

Personal Projects

CSV Parser

• Developed a utility to read and write a csv file.

Optical Character Recognition (OCR) Service

• Created a TCP server service which returns the OCR of an image being sent. Utilizes a header to determine the size of the image, and returns the result as a json.
• Utilized Docker to create a container that can be used with other services like Image TCG Card Logger.

Image TCG Card Logger

• Developed in Rust Docker container.
• Created a multithreaded image compare manager to compare the input image OCR with a database text dictionary. OCR results are gotten utilizing the OCR Service.

Apple Watch NFT App

• Developed an ios application to seamlessly fetch user owned NFT's from the Cardano blockchain and set them as background images on Apple Watch devices.
• Utilized SwiftUI to create the frontend, and blockfrost.io for the api to get web3 blockchain information.

Coded Resume

• Created current document with html and hosted on website.

Education

Interests