About

Shreyansh Gupta is a highly motivated and ambitious undergraduate student with a passion for learning. He is a competitive programmer with a 4-star rating on CodeChef and has also participated in Codeforces. Shreyansh is proficient in C++, Android development, Javascript, and full-stack development. He has experience in computer-generated imagery and machine learning. Currently, Shreyansh works as a software engineer at Optum. Prior to this, he worked as a backend developer at Relevel. Shreyansh has also worked as a research lead at SRM University, where he worked on a research project to automate with AI and deep learning. He, along with his team, developed an image captioning model using CNN, Inception V3, RNN, Hard and Soft Attention models, and PIP package connected with model API using for the alt text automation in HTML. The accuracy of their results was high as they used industrial standard metrics such as BLEU and Confidence Scores. He worked in collaboration with Dr. Veena Khandelwal and Sergio Dogadov, a research associate at Technical University, Berlin, Germany. Shreyansh holds a Bachelor of Technology degree in Computer Science from SRM University, which he will complete in December 2022. He completed his undergraduate studies in PCM from D.A.V Public School, Kota, Rajasthan, in 2017. Shreyansh's tech stack includes Android, software engineering, Javascript, ML, research science, backend, AI, CNN, RNN, and deep learning. He has relevant experience of 0.95 years. In summary, Shreyansh is a highly skilled and motivated individual with a passion for learning and a strong background in competitive programming, Android development, and machine learning. He has worked on several projects, including an image captioning model using CNN, Inception V3, RNN, Hard and Soft Attention models, and PIP package connected with model API using for the alt text automation in HTML. He is currently working as a software engineer at Optum, where he is utilizing his skills in full-stack development and machine learning.