About

Rahul Rajasekaran is a highly skilled Software Engineer with expertise in Computer Vision, Natural Language Processing (NLP), and Machine Learning (ML). He is currently working as a Software Engineer at App Orchid, where he is responsible for building, training, testing, and deploying ML models for the company's flagship contract procurement product. Rahul holds a Master of Science and Engineering (MSE) degree in Systems Engineering from the prestigious University of Pennsylvania. During his time at the university, he developed a keen interest in solving problems that involve computers interpreting and gaining a high level of understanding of text, images, and videos. Before joining App Orchid, Rahul worked as a Computer Vision Software Intern at the company, where he collaborated with the R&D team at Agora to train and infer Deep Learning architectures for motion modeling of objects of interest in real-time. He also served as a Teaching Assistant for Applied Machine Learning at the University of Pennsylvania. Rahul has a Bachelor's degree in Electrical and Electronics Engineering from SSN College of Engineering. He has a strong command of various programming languages and tools, including Python, TensorFlow, Keras, OpenCV, and PyTorch. With almost three years of relevant experience, Rahul is a highly motivated and dedicated professional who is always eager to learn and explore new technologies. He possesses excellent problem-solving skills and has a proven track record of delivering high-quality work within strict deadlines. Rahul is a valuable asset to any team and is always willing to go the extra mile to ensure the success of his projects.