About

Ayush Parhi is an Advanced Associate Software Engineer at Accenture with 3.78 years of relevant experience in the field of Machine Learning and Software Engineering. He is currently pursuing a BTech degree in Electronics and Communication and has a passion for building AI systems from data preprocessing to deployment on a large scale. Ayush is highly skilled in Machine Learning algorithms, Deep Learning networks, and their applications, especially in the computer vision field. Apart from his expertise in Machine Learning, Ayush also possesses knowledge of web development with Django and Flask framework with HTML and CSS being used for the frontend. He is always open to learning and exploring new technologies and is currently looking for internship, fellowship, or residency programs in the Machine Learning and Software Engineering field. In the past, Ayush has worked as a Machine Learning Engineer at Naaniz, where he worked in a team to program a machine learning application that takes an image of an Indian food and gives its description and recipe. The app was later deployed on Android. He has also worked as a Data Scientist at Markytics, where his key role in the internship was extracting data and web scraping and building a machine learning API. Ayush has completed his Bachelor of Technology degree in Electronics and Communications Engineering from Maharaja Agrasen Institute of Technology, with an expected graduation year of 2022. He has a strong TechStack that includes ML, Software Engineer, Web, Computer Vision, AI, Data Scientist, Deep Learning, Flask, Frontend, Django, Android, and Research Scientist. Overall, Ayush Parhi is an ambitious and motivated individual with a passion for Machine Learning and Software Engineering. His technical expertise coupled with his willingness to learn and explore new technologies makes him a valuable asset to any organization.