About

Vishal Chauhan is a highly skilled Sr. Machine Learning Engineer with a passion for AI, Machine Learning, and Data Science. He has extensive experience in developing Deep Learning and Machine Learning solutions using open source libraries such as TensorFlow, Keras, PyTorch, and FastAI. His focus areas include Computer Vision and Natural Language Processing (NLP). Vishal is proficient in various programming languages and scripting, including Python, C/C++, C#, Java, HTML5, JavaScript, REST, and Flask. He has experience working with databases such as MySQL and MongoDB, and cloud platforms such as AWS (EC2, S3, SageMaker) and GCP. With over 5 years of relevant experience, Vishal's specialties include Object Detection, Tracking, Segmentation, Image and Video Matting, Action Recognition, Neural Style Transfer, Token Classification, Text Classification, Pose-Estimation, Speed and Distance Estimation. Currently serving his notice period at Quantiphi, where he works as a Senior Machine Learning Engineer, Vishal is responsible for developing Computer Vision Analytics related to NFL Football, Golf, and Soccer. He is also building Intelligent Document Processing using OCR and Transformers for Token Classification on documents like transcripts, prescriptions, statements, etc. Additionally, he is building Computer Vision use-cases with Object Detection, Tracking, Segmentation, Image and Video Matting, Action Recognition, Neural Style Transfer, Pose-Estimation, Speed and Distance Estimation. Vishal has experience building applications using computer vision in Sports, Telecom, Media, Entertainment, and Gaming. Prior to his current role, Vishal worked as a Machine Learning Engineer at Capgemini. He holds a Bachelor's degree in Computer Science from Meerut Institute of Engineering and Technology. Vishal's technical expertise includes ML, Computer Vision, Object Detection, NLP, AWS, Text Classification, Python, Keras, SageMaker, AI, TensorFlow, Deep Learning, MySQL, MongoDB, Pytorch, GCP, Big Data, Javascript, Data Scientist, Flask, ResNet, FaceNet, Java, OpenCV, Docker, and C.