About

Suransh Chopra is an Applied Scientist at Amazon and a DS/ML Remote Instructor at Scaler. He is a skilled software engineer with expertise in machine learning, specifically in computer vision and natural language processing. He is proficient in Java, Python, C++, data structures and algorithms, Docker, Kubernetes, object-oriented programming, and design patterns. He is an enthusiast of deep learning and algorithms. Suransh has 2.86 years of relevant experience in the industry. Prior to joining Amazon, he worked as a Senior Software Engineer - Machine Learning at Arcesium. During his time at Arcesium, he worked on a variety of projects, including developing a 3-stage pipeline for extracting tables from PDFs, working on a semantic sentence similarity NLP problem, and designing and productionizing an end-to-end MLOps framework for the firm. He also worked on scaling up and stabilizing Kubernetes deployment and deploying Airflow to an on-prem Kubernetes cluster. Suransh holds a Bachelor of Technology degree in Computer Science from Delhi Technological University (formerly DCE) and a High School Diploma from Apeejay School. He is proficient in a wide range of technologies, including but not limited to, Kubernetes, Spring, BERT, object detection, Docker, CI/CD, Keras, MSSQL, adversarial networks, Apache Airflow, MongoDB, AI, GAN, OpenCV, TensorFlow, neural networks, MySQL, Flask, PyTorch, and UI integration.