About

Gaurav Patil is a highly skilled Deep Learning Engineer with a strong background in Machine Learning, Computer Vision, and Natural Language Processing. He currently works as a Lead Software Engineer at Persistent Systems, where he applies his expertise in developing state-of-the-art solutions using technologies such as Convolutional Neural Networks, Siamese Neural Networks, Gradient Boosting, and Machine Translation. Gaurav's career in the tech industry spans almost five years, during which he has held various positions in both academic and corporate settings. He started as a Deep Learning Intern at the Indian Institute of Technology, Bombay, where he gained hands-on experience in implementing supervised and unsupervised learning algorithms. He then moved on to work as a Deep Learning Engineer at Sakshi Softech Pvt. Ltd., where he honed his skills in developing software solutions for computer vision applications. Gaurav's academic background is equally impressive, with a PGD in Information Technology Project Management from Symbiosis and a Bachelor's degree in Computer Science from North Maharashtra University. He also holds a Diploma in Computer Science from GMC Polytechnic. Gaurav's technical skills are extensive, and he is proficient in using tools such as Numpy, Pandas, and Scikit-Learn. He is passionate about staying up to date with the latest developments in his field and is always exploring new technologies and techniques to improve his work. Overall, Gaurav is a highly motivated and skilled Deep Learning Engineer with a broad range of experience in the tech industry. He is a valuable asset to any team and is always eager to take on new challenges and push the boundaries of what is possible with AI and machine learning.