About

Rahul Hanot is a Machine Learning Engineer at Agribazaar with over 2.5 years of relevant experience in the field. He holds a Master of Technology degree in Computer Science and Engineering from Delhi Technological University (DTU) and a Bachelor of Technology degree in Information Technology from the same institution. Rahul has a strong technical background in ML, Computer Vision, Keras, Object Detection, Python, Java, Research Scientist, AI, CNN, and Deep Learning. He has applied these skills in his current role to develop and implement ML models for Agribazaar's platform, which has helped to improve the efficiency of the company's operations and enhance the user experience. In his previous roles, Rahul has worked as a Research Scientist and has gained valuable experience in conducting research, analyzing data, and developing ML models. He has also worked on various projects related to image and speech recognition, which has helped him to develop a deep understanding of these technologies. Rahul is a highly motivated individual with a passion for technology and innovation. He is always eager to learn new skills and stay up-to-date with the latest trends in the industry. He is a team player and has excellent communication skills, which enables him to collaborate effectively with his colleagues and stakeholders. Overall, Rahul is a talented and dedicated Machine Learning Engineer with a strong academic background and relevant industry experience. He is well-equipped to take on challenging projects and deliver high-quality results.