About

Yash Agrawal is a knowledgeable and proactive Embedded Software Engineer with a problem-solving attitude. He has expertise in various avenues of Machine Learning and Electrical Engineering, and is able to develop suitable Product Codes and Algorithms. Yash is focused towards Edge AI which involves running Deep Learning Models on Edge Devices such as mobile phones, embedded devices, etc. He is passionate about building innovative AI solutions for real-life concerns. Yash has worked as an AI Researcher at Deterministic Algorithms Lab, where he worked on a project aimed at Accent Conversion. His main role was to build efficient models and implement algorithms for low-bit quantization, structured and unstructured pruning on deep neural networks. He also built deep learning pipelines to quantify the user's focus level based on the number of blinks, iris movement, and breaks taken. As an Intern at Onnyx Electronisys, Yash designed and implemented an Intelligent Transport System (ITS) based prototype model for detection of moving vehicles. He also worked on deep learning models of a team aimed at building a Prototype Intelligent Transport System and built deep learning models to detect Wrong Side Vehicles. Yash has a Bachelor of Technology degree in Electrical Engineering from DTU and completed his AISSCE (Class XII) and AISCE (Class X) from K.D.B. Public School. His tech stack includes Software Engineering, AI, Deep Learning, ML, Research Science, Mobile, and Neural Networks. Yash has relevant experience of 0.27 years and is always looking forward to opportunities where he can apply both Electrical and Machine Learning. He is exploring new ideas and is eager to take on new challenges.