About

Soham Satyadharma is an experienced Applied Scientist at Amazon, actively seeking new opportunities in the fields of Machine Learning, Data Science, and Software Engineering. With over 5 years of relevant experience, Soham has a strong background in research and development, with a focus on AI and robotics. Soham's current role at Amazon has allowed him to develop expertise in the application of Machine Learning algorithms to solve real-world problems. He has also gained valuable experience in software engineering, working on projects that require the development of scalable and efficient code. Prior to his current role, Soham worked as a Graduate Teaching Assistant at UC San Diego Jacobs School of Engineering, where he taught courses in Computer Architecture, Computer Organization and Systems Programming, and Principles of AI: Probabilistic Reasoning and Decision-Making. He also worked as a Research Assistant at the Healthcare Robotics Lab, where he submitted a paper titled "Robots for Compassion: Cancer Pain Assessment in the Emergency Department" to HRI, 2022. This project focused on the development of an autonomously navigating robot in the Emergency Department of a hospital to deliver supplies. Soham's educational background includes a Master of Science degree in Computer Science from the University of California, San Diego - Jacobs School of Engineering, and a Bachelor of Technology (Hons) degree in Computer Science and Engineering from IIT Dhanbad. Soham's technical skills include expertise in research, Machine Learning, Software Engineering, and AI. He is a skilled Research Scientist with a proven track record of developing innovative solutions to complex problems. He is also proficient in programming languages such as Python, Java, and C++. Overall, Soham Satyadharma is a highly motivated and skilled professional with a passion for solving complex problems using cutting-edge technologies. He is actively seeking new opportunities to apply his skills and experience to make a meaningful impact in the field of Machine Learning, Data Science, and Software Engineering.