About

Sagar Gandhi is a skilled Software Engineer with over 6 years of relevant experience in the field. He has a strong background in using programming languages such as C, C++, and Python on both OS Native and Cloud Native Platforms. He has a deep understanding of Microservices, Scalable Systems, Deep Learning, Machine Learning, Computer Vision, Natural Language Processing, Image Processing, Computer Graphics, and Operating System Internals. Sagar has hands-on experience in Computer Vision techniques and algorithms for segmentation, object detection, and recognition. He has a strong interest in Natural Language Models, Sequence Processing, Encoder-Decoder Models, Information Extraction, Chatbots and Dialogue Systems, Semantic Parsing, Deep Learning, Generative Models, Sequential Models, Random Forest Models, and Feature Engineering. He is also skilled in Computer Graphics, Rendering, OpenGL, OpenGL ES, Shaders, and GLSL. Currently, Sagar is working as a Software Engineer at Google Search. Prior to this, he worked as a Natural Language Processing Research Engineer Intern at dmai, where he developed a dialogue manager using reinforcement learning and a Natural Language Generation (NLG) server forked from Alex Dialogue Systems Framework. He also worked as a Research Assistant at the University of Kentucky, where he focused on Computational Storytelling, Probabilistic Graphical Models, ML, Tensorflow, PyTorch, NLP, Computer Vision, and Statistics. Sagar holds a Graduate degree in Computer Science from the University of Kentucky and a Masters in Scientific Computing from Savitribai Phule Pune University. He is highly skilled in various technologies, including AI, CNN, OpenCV, Scikit, and MongoDB. Sagar is a dedicated and talented professional with a passion for innovation and a commitment to excellence.