Sujeet is a Software Engineer with approximately 2 years of experience, proficient in Python, Machine Learning, Deep Learning, and NLP. He specializes in developing APIs and building intelligent systems focused on extracting value from data. His professional experience includes developing end-to-end backend solutions and utilizing tools such as AWS, Git, and MongoDB.
Experience
Software Engineer - Python
Concerto A.I.
Developed the end-to-end Backend for Appointment Booking using Python, Fast API and the Pydantic Model for Integrating third-party businesses with Conversational AI chatbot. Wrote various test cases using pytest. Worked on the Conversational AI platform to improve intent recognition modules to handle emojis and chat-words. Implemented HashMap to check and refresh MongoDB if there's some change in appointment booking data. Worked with tools like Git, Elastics, SonarQube, Jenkins, AWS to Version, troubleshoot, optimise, Integrate and Deploy code. Performed Data Analysis to find insights from datasets to understand significant factors for customer dissatisfaction during the chat flow process causing them to leave midway, which helped build a new chat flow leading low retirement rate.
Software Engineer Intern
HighRadius
Built AI-Enabled FinTech B2B Invoice Management System. Involved in Data Aggregation from the MySQL Databases and performing Data Cleaning, Analysis and Feature engineering. Trained Machine Learning Models to predict the approximate payment date for Various Businesses. Built a Call Work-board Web Application to display the status metric of various businesses using React.js for Monitoring.
Software Engineer Intern
Neustar
Developed a Messaging service framework. Used Google Cloud Platform PUB/SUB as the middleware to provide it as Messaging as a Service.
Education
G.I.E.T. University
Computer Science and Engineering
Computer Science and Engineering
Licenses & Certifications
Machine Learning & Neural Networks
Coursera
Python
NPTEL