About

Ashish Chauhan is a Senior AI/ML Solution Architect and AI Ranger at Microsoft, with over 8 years of experience in Data Science and Machine Learning. He is a Google Certified Professional Machine Learning Engineer and a DATAFEST '18 runner-up, organized by the American Statistical Association (ASA). Ashish has a deep understanding of Calculus, Linear Algebra, and 3D-vectors, and is a skilled Python and SQL programmer. He has expertise in big data frameworks, AI, and ML, and is an enthusiast of Deep Learning. At Microsoft, Ashish is responsible for building creative solutions using Azure OpenAI service, leveraging GPT3.5, embeddings models like Ada, Babbage, Curie, DaVinci, and Codex models. He is also responsible for unblocking obstacles for the field team related to AI and ML, providing feedback on Azure products and services to the Engineering team, creating and publishing architectures on Azure portal, creating solution accelerators for the field to adopt and scale for a better customer experience, and evangelizing Azure products to Microsoft internal teams and customers. In the past, Ashish has worked as a Mentor at Coursera, helping learners with their queries related to Deep Learning and Artificial Intelligence courses created by IBM. He has also worked as a Data Scientist at Quantiphi, where he formulated business problems into machine learning problems and found solutions using computer vision and natural language processing techniques. He has built a question and answering platform in the pharmaceutical domain using Knowledge Graphs and reading comprehension approach, and a safety analytics system on a video on Google Cloud Platform using ConvLSTM and Conv3D. Ashish has a Master's degree in Data Analytics from Penn State University and a Bachelor of Technology degree in Electrical, Electronics and Communications Engineering from the Institute of Engineering and Technology. He has also completed a Deep Learning Specialization from deeplearning.ai. His tech stack includes AI, ML, Senior Software Engineer, Azure, Reinforcement Learning, Data Scientist, SQL, Big Data, Deep Learning, BERT, Python, Computer Vision, Corpus, Research Scientist, NLP, QA, and UI.