Adrian Galvan

Background

About Adrian Galvan

Hello, I'm Adrián Galván, currently pursuing a Bachelor's degree in Innovation and Development Engineering with a specialization in Computer Science at the Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM). I have also completed Special Studies in Advanced Artificial Intelligence for Data Science, which has deepened my expertise in AI, Deep Learning, Neural Networks and Machine Learning. My academic and professional journey has equipped me with a robust set of technical skills. I'm proficient in programming languages such as Python, C++, R, SQL, and MATLAB. My experience with deep learning frameworks like PyTorch and TensorFlow has allowed me to develop advanced models for various applications, including computer vision and agriculture. I've also worked with big data processing tools like PySpark, Pandas, and NumPy, and I'm adept at data visualization using Tableau, Matplotlib, and Seaborn. Additionally, I have hands-on experience with cloud platforms like AWS, and a solid understanding of statistical methods, project management, and process analysis. Complementing my technical abilities, I bring strong soft skills to my work. Effective communication and leadership have been essential in collaborative projects, enabling me to guide teams toward common goals. My creativity and critical thinking drive innovative solutions to complex challenges, while my entrepreneurial mindset and polymathic interests keep me adaptable and eager to learn. Teamwork is at the heart of my approach, as I believe that collective effort leads to greater success. In previous projects, I've applied these skills to diverse challenges. For instance, I developed convolutional neural networks using PyTorch to analyze dairy cow behavior, achieving 98% accuracy in identifying and classifying cow postures, which optimized milk production and animal welfare. In the field of computer vision, I enhanced the state of the art DeepGaze IIE architecture for visual saliency prediction, implementing a multimodal ensemble that improved model robustness and adaptability. My educational background and hands-on experience have fueled my passion for areas such as ML/AI Engineering, Data Science and Innovation Engineering. I'm open to new opportunities and challenges that allow me to apply and expand my skills. With my experience and dedication to technology and innovation, I'm confident that I can be a valuable addition to your company or project.