Arduino IDE: I have used the Arduino IDE extensively to program microcontrollers in my projects, including IMU Sensor Hub to test horses for Laminitis and NASA Robotics Project. This tool allowed me to write, compile, and upload code efficiently, enabling seamless integration of sensors and actuators to collect and analyze real-time data.

ROS (Robot Operating System): I explored ROS to develop and simulate robotic systems, helping me manage the complexities of robot programming. Through simulations, I could visualize and test algorithms before implementing them on physical robots, reinforcing my understanding of autonomous systems.

MATLAB/Simulink: I used MATLAB and Simulink for simulations and data analysis during my electrical engineering coursework. These tools provided powerful mathematical computing and a graphical environment for modeling dynamic systems, enhancing my ability to analyze and design control systems.

Vivado Design Suite: I have worked with Vivado to design and implement AMD adaptive SoCs and FPGAs. This experience included tasks such as design entry, synthesis, and verification, allowing me to develop efficient hardware solutions and deepen my understanding of digital design.

Altium Designer/KiCad: My PCB design experience includes using Altium Designer and KiCad to create circuit layouts with precise component placement and routing. These tools have been crucial in ensuring the functionality and manufacturability of my custom circuit boards.

Fusion 360/SolidWorks/FreeCAD: For my 3D print projects, I have used CAD software to design intricate models, bringing creative ideas to reality. This has been especially useful for prototyping and refining components for various engineering applications.

GitHub: Version control has been an essential part of my workflow, and I have used GitHub extensively to manage code changes, track project history, and collaborate effectively with peers on coding and hardware-related projects. 

Microsoft Office Suite: Whether documenting technical findings, preparing presentations, or analyzing project data, I have used Microsoft Office tools like Word, Excel, and PowerPoint to communicate my work effectively.

Adobe Illustrator/Inkscape: My creativity extends into graphic design, where I have used Illustrator and Inkscape for circuit vinyl cutting and other design projects. These tools have helped me produce high-quality visuals and precise layouts for various applications.

C/C++: I’ve used C/C++ extensively for programming microcontrollers through the Arduino IDE, building on the foundational knowledge I gained in academic courses. This language was crucial in developing firmware that allowed hardware components to communicate and perform specific functions. One of my favorite applications was in the sensor hub for horses, where I programmed the microcontroller to process sensor data efficiently.

Python: Python has been an essential tool for me in automation, data processing, and simulations, particularly in the ROS environment. Its versatility made it ideal for scripting complex workflows, managing robotic behaviors, and processing sensor data with efficiency. I’ve also applied Python for customizing my resume automation project, leveraging natural language processing (NLP) with spaCy to match job descriptions effectively.

C#: I utilized C# to enhance data retrieval from libraries in my sensor hub project. With the knowledge I gained from academic courses, I was able to integrate multiple data sources and optimize how sensor data was processed. This significantly improved the efficiency of data handling, allowing for deeper insights and better visualization of the collected data. 

MATLAB: I’ve leveraged MATLAB for simulations and data analysis, particularly in conjunction with Simulink for modeling dynamic systems. It provided a powerful environment for performing complex calculations, visualizing data, and developing algorithms. These skills were especially useful in analyzing the sensor data from my projects and improving system performance.