About

Pankaj Chauhan is a Senior Software Engineer at Paytm with over 4.6 years of relevant experience. He is skilled in Python, Django, NLP, Java, Kotlin, and has a keen interest in Speech and Natural Language Processing. Pankaj is a graduate of St. Francis Institute of Technology with a Bachelor of Engineering in Electronics and Telecommunications Engineering. At Paytm, Pankaj works on the insurance team, where he has developed the CRM framework for customer details in both NodeJS and SpringBoot-based insurance products. He has integrated and maintained multiple partners on the platform, developed features related to the insurance product, and resolved assigned technological bugs of the core product as well as multiple insurance partner integrations. Prior to Paytm, Pankaj worked as a Senior Software Development Engineer at Cogno AI, where he was an early tech member of the company. He worked on the core product ConverseIQ, a full-stack CX platform used by several Fortune 500 companies. His day-to-day tasks involved improving the features of the core product, developing new functionalities using machine learning and software skills, testing and fixing bugs/issues, customizing it for clients, and doing security testing and configuration. In addition to his technical skills, Pankaj is a mentor, reviewer, and team player. He has mentored interns and fellow engineers, helped them achieve their objectives, and monitored the quality of deliverables. He has also reviewed code, set and managed client deadlines, and worked collaboratively with his team to achieve successful outcomes. Pankaj's tech stack includes Django, Python, pyTorch, Keras, Bootstrap, MaterializeCSS, HTML, JavaScript, Nginx, Gunicorn, Oracle, MySQL/Postgres, AWS (EC2, S3, Lambda, Cloudwatch), API integrations (JSON, XML, SOAP), RedHat Enterprise Linux (RHEL), Shell Commands, SSH, SSL Certificate, HTTP/HTTPS, Web scraping, Google-cloud services, unit testing, etc. In his free time, Pankaj enjoys solving day-to-day problems using his skills and reading and implementing research papers related to Speech and Natural Language Processing.