About

Gangadhar Singh is a certified machine learning graduate who is passionate about the possibilities of artificial intelligence. He believes that what once seemed impossible is now becoming a reality, and he is excited about the role that statistics plays in drawing insights from data. Gangadhar completed his Master's in Machine Learning from IIIT Hyderabad and has also earned certifications in Introduction to TensorFlow for AI, ML, and DL, as well as Optimize TensorFlow Models for Deployment with TensorRT from Coursera. Gangadhar has over 2 years of experience in the field of machine learning and deep learning, and he has worked on several interesting projects, including multi-template matching using OpenCV, sentiment analysis on audio datasets, topic modelling based on customer complaints, and named entity recognition on medical data. He has also been trained on NVIDIA Supercomputer by a senior data scientist on technologies such as Docker and container orchestration tools. Currently, Gangadhar is working as a Technical Solutions Architect (Deep Learning) at Fore Solutions, where he is helping end customers run deep learning workflows and evangelizing customers on frameworks to improve adoption. He has also established detailed program/application specifications by leading brainstorming sessions with internal and external clients and integrated different hardware and software components to make the entire system work deftly. In his previous role as a Software Engineer at Greatfour Systems, Gangadhar worked on multi-template matching and contour detection using OpenCV, with the goal of automating the printing process of medicine package templates. He also worked as a Student Teaching Assistant at IIIT Hyderabad, where he helped students with their assignments and lectures on structured programming, Python programming, and data science. Gangadhar is well-versed in deep learning, AI, ML, senior software engineering, Docker, research science, OpenCV, data science, TensorFlow, sentiment analysis, image processing, and Python. He enjoys reading blogs and books, participating in different open-source events on AI or cloud computing, connecting with like-minded people in the field of AI, and watching science fiction movies/shows, sketching, and listening to melodious songs. Overall, Gangadhar has 3.11 years of relevant experience in the field of machine learning and deep learning.