About

Sheetal Jantikar is a highly skilled Software Engineer with over 5 years of experience in the field of Machine Learning. Currently, she is working as a Software Engineer at Soroco, where she is responsible for developing and implementing machine learning algorithms to improve the company's search and NLP capabilities. Prior to joining Soroco, Sheetal worked as a Deep Learning Engineer at Gauss Surgical and Airspace Systems, where she developed and implemented advanced deep learning algorithms for object detection, computer vision, and reinforcement learning. Sheetal holds a Master's Degree in Electrical and Computer Engineering from Oklahoma State University and a Bachelor's Degree in Instrumentation Technology from Dayananda Sagar University. Her education has equipped her with a strong foundation in software engineering and machine learning, which she has successfully applied in her professional career. Sheetal is proficient in several programming languages, including Python, Java, and iOS. She is also well-versed in various machine learning frameworks such as Keras, Tensorflow, and Scikit. Her expertise in deep learning, neural networks, and CNN has helped her develop and implement cutting-edge algorithms that have significantly improved the performance of the companies she has worked for. In summary, Sheetal Jantikar is a highly skilled Software Engineer with a strong background in machine learning and deep learning. Her expertise in developing and implementing advanced algorithms has helped her contribute significantly to the success of the companies she has worked for. With her technical skills and experience, Sheetal is well-equipped to take on challenging roles in the field of machine learning and software engineering.