Hello! I'm Marc Cruz, a Computer Science undergraduate with a fervent enthusiasm for the transformative realm of machine learning. Currently immersed in the intricacies of computer science, majoring in this field, my journey is fueled by the exciting prospects that machine learning holds for innovation and problem-solving.

🚀 Driving Innovation through Machine Learning: My academic pursuits have kindled a passion for delving into the dynamic landscape of machine learning and its potential to revolutionize various domains. My journey began with research into machine learning applications with Mobility Scooter Safety. Leading to the stepping stone of the research taking on now developing a Mobility Scooter Driving Safety Assessment System https://www.nsf.gov/awardsearch/showAward?AWD_ID=2318672&HistoricalAwards=false. Motivated by the prospect of leveraging advanced algorithms and data-driven insights, I am committed to contributing to the forefront of machine learning applications.

💻 Hands-On Project Experience: Throughout my academic journey, I've actively engaged in hands-on projects and research, gaining practical experience in areas such as real-time machine learning applications for mobility scooters and precision agriculture research in different NSF REU sites. These experiences have honed my skills in applying machine learning techniques to address real-world challenges.

🛠️ Technical Skills: Proficient in a range of machine learning frameworks and libraries, including TensorFlow, PyTorch, and OpenCV. My expertise enables me to effectively navigate challenges and make significant contributions to the success of advanced machine learning projects. These skills position me to play a key role in driving innovation and delivering impactful results in the realm of machine learning.

🎯 Future Aspirations: With a dedicated focus on excelling in the field of machine learning, I aspire to contribute as a professional in roles related to machine learning engineering, data science, and artificial intelligence. I am eager to apply my academic achievements and hands-on experiences to drive impactful machine-learning projects to fruition.

Let's connect! I am enthusiastic about engaging with fellow professionals who share a passion for pushing the boundaries of machine learning technology and making a meaningful impact. Feel free to reach out to me directly or through my email at:
[email protected]