Arpitanshu

Arpitanshu has experience as a Machine Learning Engineer at Quantive, where they successfully implemented various PoC using LLMs and related tools for different purposes. Additionally, at Quantive, they worked on a PoC of a complex event processing Engine and built a scalable Anomaly Detection engine backed by DL models. Prior to Quantive, Arpitanshu worked as an SVT Engineer at Ribbon Communications, where they contributed to testing the company’s Session Border Controller and developed automation tools for the QA team. Arpitanshu holds a B.Tech in Information Technology from Guru Ghasidas University and completed a short-term course in Foundations of Artificial Intelligence & Machine Learning at the Indian Institute of Technology, Kharagpur.