About

Aayush Rai is a highly skilled software developer with expertise in Python, Machine Learning, Deep Learning, Data Science, Computer Vision, Django, Flask, Arduino, NLP, Javascript, React, Sqllite, Firebase, and Nodejs. With 2.19 years of relevant experience, Aayush has demonstrated his proficiency in software development, computer vision, and deep learning by working on various projects. Currently, Aayush is working as a Machine Learning Intern at Medi-Caps University, where he is responsible for designing and implementing an automated attendance system using facial recognition. He has also designed the graphical user interface (GUI) for user interaction with the system using Tkinter. In the past, Aayush has worked as a Machine Learning Intern at Rashail Tech Labs, where he built multiple small bots using Arduino and Raspberry Pi. He also implemented the lane detection algorithm for automated guided vehicles. Aayush has also worked as a Computer Vision Intern at TDB.ai, where he built, trained, and tested convolutional neural networks for different datasets. He integrated the models with Django for deployment and built the logic for a face recognition-based attendance system. Aayush holds a Bachelor of Technology degree in Computer Science from Medi Caps Institute of Technology and Management. He is a software engineer with expertise in computer vision, deep learning, NLP, Django, Javascript, ML, data science, Flask, Python, test, NodeJS, and neural networks. Aayush is a highly motivated individual with a passion for software development and a drive to learn new technologies. He is always looking for new challenges and opportunities to expand his knowledge and skills in the field.