About

Sanjiban Sengupta is a quality-oriented software engineer with a passion for network security, programming, machine learning, and web development. He is currently attending the International Institute of Information Technology, Bhubaneswar, where he has achieved an impressive 8.79 GPA. Sanjiban is aiming to leverage his knowledge and skills to become a successful full-stack developer and research enthusiast. Sanjiban has gained valuable experience as a Machine Learning Engineer Intern (R&D) at nimblebox.ai, where he has worked on the research and implementation of multi-modal deep learning architectures and their use cases. He has also improved the MLOps platform for simplified inference and deployment of production-grade models. Prior to this, Sanjiban worked as a Software Engineer Intern at economize.cloud, where he implemented tools in Vue and Golang to simplify the management and analysis of cloud resources in GCP. He also developed the prediction engine in Python for anomaly detection and forecasting the costs of cloud usage. Sanjiban has also worked as a Machine Learning Intern at cadenceiq, where he implemented and benchmarked NLP systems for developing SaaS products focused on sales growth based on the GPT series by OpenAI and EleutherAI. He engineered prompts and implemented features of text-generation and classification from models of GPT3 by OpenAI. Sanjiban's education history includes a Bachelor of Technology in Computer Engineering from the International Institute of Information Technology, Bhubaneswar, which he is due to complete in 2022. He has also attended the ACM Winter School at the Institute of Mathematical Sciences, where he studied algorithms on big data and machine learning. Sanjiban's tech stack includes ML, software engineering, research science, web development, deep learning, GCP, Python, Golang, GPT, and NLP. He has gained 1.28 years of relevant experience and is frequently praised by his peers for his efficiency and creativity. Sanjiban is a reliable team player who can be relied upon to achieve goals and targets of developing efficient and high-scale technological advancements.