About

Anant Vignesh Mahadhevan is an astute machine learning enthusiast with relevant work experience in data science, machine learning, and software development. With a Master of Science in Computer Science from Texas Tech University and a Bachelor of Engineering in Computer Engineering from Sri Sairam Engineering College, Anant has a strong educational background in the field. Currently working as a Machine Learning Researcher and Software Engineer at Ford Credit, Anant is proficient in data extraction, data modeling, data visualization, and deep neural networks. He has experience in developing GUI applications, version control, and maintaining CI/CD pipelines. Anant has previously worked as a Machine Learning Engineer at Nemalife, Inc., where he designed, tuned, and implemented a deep learning model using VGG16 architecture to detect undesirable worm movement in experimental videos with 92% accuracy. He also designed and developed a computer vision module using CNN and deployed it to an existing application to automate the process of worm localization, tagging, and activity detection with 91% accuracy. Anant also developed a labeling application using PyQT5 and OpenCV to annotate and curate training datasets from experimental videos by performing image processing operations such as thresholding, segmentation, and augmentation. As a Graduate Research Assistant and ML Engineer at Texas Tech University, Anant collaborated with a team in NASA/SpaceX and provided machine learning/computer vision assistance to send microbiological experiments to the International Space Station. He created and tuned a machine learning model using CNN that reaches an overall accuracy of 90% in detecting and classifying worms and non-worm objects in experimental video data. Anant also developed a MATLAB script for computer vision to track nematodes in experimental videos with 93% accuracy and auto-crop the videos based on the nematode’s movement. He coordinated and tracked all project activities for seamless code releases using Github SCM and improved script deployment time by 50%. Anant's tech stack includes ML, software engineering, research scientist, computer vision, deep learning, CI/CD, CNN, data scientist, neural networks, OpenCV, image processing, and Python. With 4.03 years of relevant experience, Anant is a skilled and knowledgeable professional in the field of machine learning and software engineering.