About

Kanhaiya Nathani is a highly skilled Machine Learning Engineer with a passion for exploring new technologies and their applications. He is currently working as an MLE-2 at ShareChat, where he is part of the Ads Data Science team and focuses on improving the performance of Ads campaigns through the LookAlike Audience Targeting feature. He has previously worked at Samsung R&D in the NLP department, where he developed on-device solutions for Bixby, Samsung's virtual assistant. Kanhaiya graduated from IIT Bombay with a dual degree in B.Tech and M.Tech and has over 5 years of relevant experience in the field of Machine Learning. During his final year of study, he worked at the Digital Audio Processing Lab (DAP-Lab) under Prof. Preeti Rao, researching deep learning and statistical learning methods for speech processing. Kanhaiya has a diverse set of skills and is proficient in various technologies such as BigQuery, GCP, Docker, Apache Airflow, Jupyter, and Python. He also has working knowledge of Bixby Virtual Assistant, NLP, Speech Processing, Statistical modeling, Computer Vision, and Robots. His interests lie in Ads Monitization, Machine learning, Deep learning, and Robotics. Kanhaiya is always eager to learn and explore new technologies. He has a strong foundation in computer science and has experience working on a wide range of projects, from developing on-device solutions for virtual assistants to working on 2D Navigation modules for robots using Unreal Engine. He is an open-minded individual who is always looking for new opportunities to collaborate with early-stage tech businesses. Overall, Kanhaiya Nathani is a highly skilled Machine Learning Engineer with a diverse set of skills and a passion for exploring new technologies. He is a valuable asset to any team and is always eager to take on new challenges.