About

Chandana Srinivasa is a highly skilled AI Engineer with a passion for Computer Vision, Machine Learning, and Deep Learning. With over 4 years of relevant experience, Chandana has developed a strong background in these fields, with a particular focus on research and state-of-the-art algorithms. Chandana has a diverse range of programming skills, including Python, C++, MATLAB, C Java, and Robotic Operating System, and is experienced in working with frameworks such as PyTorch, Tensorflow, Open CV, PostgreSQL, GIT, Google Cloud Platform, Scala, Tensor RT, JIRA, Unit-Testing, GPU, CUDA, NVidia GStreamer, and REST API. Chandana has also published research on Automatic Visual Augmentation for Concatenation Based Synthesized Articulatory Videos from Real-Time MRI Data for Spoken Language Training, which was presented at the International Speech Communication Association (ISCA) conference in 2018. Chandana's professional experience includes working as an AI Engineer at Kaliber.ai / Kaliber Labs, where she has been responsible for developing computer vision software and has been involved in the research and development of deep learning models. Chandana has also worked as a Research Assistant at Arizona State University, where she was involved in designing a real-time interface for the digital screen to help people suffering from color blindness. A patent has been filed for this idea. Chandana holds a Master's degree in Computer Engineering from Arizona State University, where she specialized in Computer Vision and Deep Learning. She also has an Engineer's Degree in Electronics and Communication Engineering from PES Institute of Technology and completed her Pre-University studies at MES Vidyasagara Prof MPL Shastry Pre-University College. Chandana is highly skilled in AI, Computer Vision, Deep Learning, Research Scientist, ML, Image Processing, Image Segmentation, test, Data Scientist, Tensorflow, Pytorch, Software Engineer, Python, Scala, and Java. With her strong technical background and passion for AI, Chandana is an asset to any team looking to develop cutting-edge technologies in these fields.