About

Amogh Mudholkar is a highly skilled Software Engineer with 3.77 years of relevant experience in the field of Machine Learning, Computer Vision, Elastic Search, Search, Redis, and Flask. Currently, he is working as a Software Engineer at Infrrd, where he has worked on multiple projects to extract fields from documents such as receipts, invoices, and more. He has also worked on memory management to deploy multiple machine learning models with the least memory utilization, document manipulation using computer vision, and retrieval of specific data using elastic search. Amogh's past experience includes working as a Machine Learning Engineer at Charmboard, where he trained a model to detect the gender and category of clothing from e-commerce images, enhanced the category classification model to detect from video frames, and trained a model to detect the color of the clothing in an image. He has also worked as a Machine Learning Intern at Charmboard, where he created a module for smile scorer, detecting the rate of a person's smile in an image, trained a Multi-Label classification model to find the attributes such as the collar, sleeve, pattern, and migrated an entire architecture of BaseHTTPHandler application to a Flask and Redis Application with a significant reduction in response time for concurrent requests. Amogh holds a Bachelor of Engineering degree in Computer Science from Don Bosco Institute of Technology, Bangalore, and has completed his Pre-University Education in Science (PCMC) from MES Kishora Kendra PU Acollege. His tech stack includes Software Engineering, ML, Computer Vision, Elastic Search, Search, Redis, and Flask. Amogh is a quick learner, adaptable, and always strives to excel in his work.