About

Nidhi Saxena is a highly skilled Machine Learning Engineer with over 4 years of relevant experience in the field. She is currently working at Ei Community as a Junior Machine Learning Engineer, where she is responsible for developing and implementing machine learning models for various projects. Nidhi has a strong technical background and is proficient in using various cloud platforms such as AWS and Azure, as well as frameworks like TensorFlow/Keras, PyTorch, and mxnet. Prior to her current role, Nidhi worked as a Senior Machine Learning Engineer at Invoid, where she used machine learning (computer vision) to enhance user onboarding experience. She has worked on commercial projects such as detecting the type of ID card, details extraction from ID card image, face similarity, and forgery detection. Nidhi has handled the complete pipeline from researching methods to solve problems, data management, data cleaning, training models, and deployment. Additionally, she has supervised interns and interviewed potential candidates. Before joining Invoid, Nidhi worked as a Technical Mentor at Udacity, where she mentored students in the nano degree program titled "Machine Learning with Azure". Her responsibilities included solving students' doubts and reviewing project submissions throughout the nano degree program. Nidhi holds a Master of Technology degree in Artificial Intelligence from the University of Petroleum and Energy Studies, and an undergraduate degree in Computer Science from Delhi University. She also completed her AISSCE in Computer Science from Mayur Public School. Nidhi is proficient in using various technologies such as ML, Azure, AWS, Keras, Computer Vision, TensorFlow, and PyTorch. In summary, Nidhi Saxena is a highly skilled Machine Learning Engineer with a strong technical background and over 4 years of relevant experience. She is proficient in using various cloud platforms and frameworks and has worked on commercial projects in the field of computer vision. Nidhi is a dedicated professional who is passionate about using her skills to solve complex problems and contribute to the growth of the industry.