1. Streamlined operations by automating tasks using Ansible and Terraform, resulting in a 40% increase in productivity.2. Fulfilled the role of a backend developer, utilizing Python and Django as the primary framework.3. Influenced to the enhancement and expansion of the company’s Cloud Management Platform (CMP), focusingon feature additions and improvements.

working as a junior machine learning engineer @TheHansonProject

1) Worked on end-to-end machine learning problems.2) Working with team to develop complete ML pipeline i.e., from data scraping to deployable ML model

1) Constructed a complete User Navigation system using HereSdk with flutter integration 2) Devloped secured Email authentication system in NodeJs integrated with flutter application with features like refresh token and access token service to keep user login after closing application3) A complete backend for user profile crud operation with flutter

1) worked primarily on NLP/NLU applications for building chatbots based on customer needs2) started working on both implementations, which involved developing conversational AI and intent-based bots from scratch as well as using a variety of chatbot frameworks like Dialog Flow, JoonBot, and RasaNLU.