Manad Mishra

Manad Mishra has a diverse background in software engineering and machine learning, with experience at notable companies such as Google, Adobe, and Capillary Technologies. As a Machine Learning Intern at Capillary Technologies, Manad contributed to the InStoreAI team by implementing speaker diarization and developing a robust pipeline for noise reduction in speech recognition. At Google, as a Software Engineer, responsibilities included working on time-series forecasting models and optimizing parameter tuning for forecasting accuracy, along with improving the serving infrastructure for Google Ads. During a Research Internship at Adobe, Manad focused on implementing Class-Agnostic Semantic Segmentation utilizing fully convolutional neural networks. Additionally, involvement as a Software Team Member at Aerial Robotics Kharagpur encompassed research in Reinforcement Learning, Computer Vision, and Autonomous Robotics. Manad holds a Master's degree in Computer Science from the Indian Institute of Technology, Kharagpur.