Sushant Gautam's Linkedin Analytics

I am a Graduate Research Assistant at the Center for Advanced Vehicular Systems (CAVS), where I collaborate with Stanford and Princeton University on cutting-edge computer vision research, focusing on image restoration using generative models. I also deploy AI models on AWS with Docker, showcasing my ability to bridge theory and practice. I am pursuing an MS in Computer Science with a specialization in Artificial Intelligence at Mississippi State University, where I aim to leverage my skills and experience to create value and impact across various domains and industries. My passion for AI is further shared through my blogging and continued learning, as evidenced by multiple Coursera certifications in Deep Learning and Machine Learning Specializations. Previously, I worked as a Machine Learning Engineer at Proxmed, where I developed AI models for brain disease detection using advanced deep learning models like YOLOv7, significantly enhancing diagnostic accuracy and reliability. I also created synthetic datasets with GANs to overcome healthcare data scarcity, improve disease model accuracy, and apply research practically. I possess a comprehensive skill set, including Python, TensorFlow, PyTorch, Docker, and AWS, which I leverage to innovate and implement scalable solutions. I have strong project leadership and communication skills, as demonstrated by leading the ML team at Proxmed and writing technical articles about AI topics on Medium. I also have a track record of academic excellence and research impact, as evidenced by multiple awards, honors, and publications. I aim to utilize these skills and experiences to create significant value and impact across various domains and industries.