Lead the end-to-end development of multilingual conversational systems and conversation automation as a seasoned ML engineer. Specialize in designing and crafting cutting-edge deep learning models tailored for conversation bots, followed by rigorous model training and evaluation experiments. Expertly select and implement state-of-the-art algorithms and tools for NLP tasks, complemented by in-depth statistical analysis and model refinement.Proficiently leverage MongoDB and Redis databases within our conversational systems, employing Flask and Sanic servers for seamless deployment. Demonstrate a strong command of Docker containers for efficient software deployment and utilize AWS S3 for storage and hosting. Pioneered the development and implementation of no-code software in the domain of conversation AI. Proven track record in both the production deployment and ongoing support of 15 successfully engineered software systems, each addressing diverse and complex use cases.

working on conversational bot building and nlu core and various intent and action classifications.