About

Harsh Siloiya is an accomplished AI Engineer with a passion for machine learning, deep learning, digital image processing, and reinforcement learning. He is currently working at AWL, Inc as an AI Engineer, where he is responsible for conducting research and development in the fields of deep learning and computer vision to provide AI-based solutions for customers. Harsh has a wealth of experience in the tech industry, having previously worked as an AI Engineer at AWL and as a Software Engineering Intern at Maq Software. At Maq Software, he automated application localization and optimization, working on the localization of Pehla Class, an award-winning educational Android application. He also developed Python scripts to automate application localization for supporting Hindi, Bengali, and Urdu languages and optimized the application by integrating Android's native text-to-speech functionality, which reduced the size of the app by 10%. Harsh completed his Bachelor of Technology in Computer Science and Engineering from the Indian Institute of Technology, Bombay in 2020. He also holds a 12th-grade degree from Delhi Public School, Navi Mumbai, and a 10th-grade degree from Ryan International School, Kharghar. Harsh is highly skilled in AI, image processing, deep learning, reinforcement learning, computer vision, ML, Android, and Python. He has 2.94 years of relevant experience in the tech industry. Harsh is a dynamic individual who is always looking for new challenges and opportunities to grow his skills and knowledge. He is a team player who is committed to delivering high-quality work and achieving excellent results.