About

Rafi Mohammad is an accomplished Engineering Manager with over 14 years of experience in data analytics, programming, and analytical data science. He is currently working at Quillbot, a company that specializes in making writing painless. As an Engineering Manager, Rafi is responsible for leading the development of innovative solutions that help users improve their writing skills. Prior to joining Quillbot, Rafi worked at Pitney Bowes, where he served as Principal Architect. In this role, he led a team of data scientists for assisting products and customer management, predicting churn rate, and developing a shipping backend infrastructure for international markets. He also developed an AdTech platform based on Location Intelligence and Location Trace data, which helped the company to better target its marketing efforts. Before that, Rafi worked at Niki.ai as a Principal Engineer, where he worked on chatbots that work as concierges for doing transactions in Indian markets. He filed a patent on Dialogue Manager using Dynamic State machines, which is the central engine for the chatbot at Niki. He also developed a generic Natural Language Generator to support multiple languages and dialects. Rafi holds a B.Tech degree from Icfai Tech, where he graduated in 2008. He also attended All Saints School earlier in his academic journey. His technical skills include Senior Software Engineering, Data Science, Research Science, Backend, and Infra, which he has honed throughout his career. Overall, Rafi is a data enthusiast with a passion for developing innovative solutions that help people improve their lives. He is a proven leader with a track record of success in managing teams and delivering results.