About

Ramesh Dileep Kumar Appana, Ph.D. is a highly skilled Senior Data Scientist with over 10 years of relevant experience in the field of computer science and machine learning. He is currently working at Leoforce, where he has been instrumental in developing and implementing cutting-edge technologies to improve the company's data analysis capabilities. Ramesh's key skills include machine learning, deep learning, natural language processing, and product architecture. He is well-versed in technologies such as Clipper, Docker, AWS, and Kubernetes, and has experience working with databases such as MySQL, Postgres, MongoDB, and Elasticsearch. He also has expertise in PJSIP and WebRTC, and is proficient in UI and UX design using Adobe Xd and Sketch. Ramesh's research interests include data science and human-computer interface, as well as image processing and signal processing. He has worked on pattern recognition with deep learning and multimedia processing with support vector machines, enhanced KNN, and convolution neural networks. In addition to his current role as Senior Data Scientist, Ramesh has also worked as a Data Scientist at Leoforce, where he developed ML models along with deep architectures for natural language processing, sentiment analysis, and text generation. He has also worked on human-computer interaction, including speech-to-text and text-to-speech processing and emotion analysis. Prior to joining Leoforce, Ramesh worked as a Researcher at Ulsan Industrial Artificial Intelligence Lab, where he conducted research on pattern recognition with deep learning and multimedia processing. Ramesh holds a Ph.D. in Computer Science and Machine Learning from the University of Ulsan, where he also completed his Master's degree. He is a skilled researcher, data scientist, and designer, with expertise in AWS, CNN, RNN, deep learning, NLP, Kubernetes, Docker, ML, MySQL, MongoDB, Elasticsearch, Postgres, UI, image processing, sentiment analysis, and neural networks. Overall, Ramesh is a highly skilled and experienced data scientist with a passion for developing and implementing cutting-edge technologies to improve data analysis capabilities.