About

Hamid Sayeed is a Systems Application Engineer at Analog Devices, with a specialization in Signal and Image processing. He completed his Master's degree from National Institute of Technology (NIT) - Rourkela in 2022. During his academic project, he worked on Image defogging using deep learning. Hamid's past experience includes working as a Software Development Engineer at Vitwit, where he developed several skills and knowledge working on projects involving machine learning, Deep Learning like Fingerprint image processing, Face recognition, Neural Style Transfer. In his final year of Master's course, he got the opportunity to do his internship at Analog Devices as a Systems Modelling Intern, where he worked on a tool for early system software development called ADViSE (Analog Devices Virtual System Explorer). He worked on setting up test infrastructure for the tool including generating code coverage report, code complexity report, and setting up automated regression tests in Jenkins. He also got the opportunity to work on enhancing the connection routing algorithm used in the tool. Apart from work, Hamid loves to play football. He also enjoys exploring tasty food corners in the city, watching food and travel vlogs. Hamid's education history includes a Bachelor of Technology in Electronics and Communication Engineering from RGUKT Basar and a Pre-University Course from St. Vincent Pallotti School. His technical skills include Image Processing, Software Engineering, test, Jenkins, infra, Deep Learning, ML, FaceNet, Keras, OpenCV, Python, Tensorflow, and Neural Networks. With 1.94 years of relevant experience, Hamid is a skilled and knowledgeable Systems Application Engineer with a strong background in Signal and Image processing.