I'm Reeve Fernandes, a passionate Computer Engineering student at Michigan State University. π With a love for all things tech, I dive deep into the worlds of Machine Learning, Artificial Intelligence, Software and Hardware develpoment . I also love to read fiction, philosophy, and theology π. When I'm not geeking out over the latest tech, you'll find me traveling the globe π, carvring wood furniture πͺ΅ hitting the basketball courts π or running π, or connecting with awesome people π.
I thrive on tackling new and challenging topics, embracing the discomfort that comes with stepping outside my comfort zone. This approach allows me to deepen my understanding and learn in a thorough and conventional manner.
Turning caffeine β into code π» and bugs into features πβ‘οΈβ¨, one keystroke at a time. π
I am proficient in a diverse array of technical skills, including programming languages such as Python, C++, and JavaScript, along with frameworks like React.js, Next.js, and Node.js for full-stack development. My expertise encompasses areas like artificial intelligence, machine learning, image processing, and database management with SQL and NoSQL. With strong communication and leadership abilities, I excel in problem-solving and teamwork, making me well-equipped to handle complex projects and lead teams effectively.
"Experience is the teacher of all things." - Julius Caesar
May 2022 - August 2023
Prototyped a real-time image processing hardware system on Intel FPGA, integrating TFT screen and SDI protocol functionalities. Throughout the project, conducted rigorous design and both virtual and physical verification processes to ensure reliability and performance. Additionally, implemented comprehensive documentation practices to facilitate seamless knowledge transfer and maintain clarity in project development.
October 2021 - Present
Assess and troubleshoot computer problems brought by faculty and staff. Maintain upkeep of website, computers, research equipment, and inventory.
September 2021 - May 2025
Courses in digital systems, signal processing, and software design provided practical experience alongside theoretical knowledge in machine learning, artificial intelligence, and computer engineering. These studies fostered skills in problem-solving, teamwork, and ethical considerations essential for pursuing a career in technology.
"Great things are not done by impulse, but by a series of small things brought together." - Vincent Van Gogh