About

Girish Gupta is a highly competent and qualified Lead Engineer at Great Learning, with over 11 years of experience in software development in various technologies such as Python, Golang, C++, SQL, Ruby on Rails, MongoDB, Nodejs, scripting, micro-services, automation, and more. He has a B.E in Computer Engineering from Delhi College of Engineering, New Delhi. Girish is known for his initiative-taking, quick learning, quality champion, hardworking, disciplined, and positive attitude. He has experience working in an Agile/SCRUM & DEVOPS model and is responsible for developing and executing unit tests to ensure and maintain source code quality. Girish has been a code reviewer for the team and has received awards like Employee of the quarter and Best team award. He is a great communicator, displays leadership skills, and is able to multi-task effectively. Girish has been instrumental in initiating, managing, and providing sessions on MongoDB & Node.JS as part of the company's Gem University. He has worked at companies like Hotstar and Oaknorth, where he was involved in development of spark jobs for processing millions of requests in real-time. At Oaknorth, Girish was an Associate Vice President, leading a team of enthusiastic engineers in data science and data engineering domains. He formulated the tech stack for the Loan Monitoring Tool, a cloud-based tool that facilitated loan book operations, monitoring, data analytics, and visualization. He also developed REST APIs using Python Flask framework and deployed the product internally to OakNorth bank for user feedback, wherein the tool helped ON Credit team reduce daily operations cost by 50%, and flag more than 10 high-risk loans (valuing to £215 mn). Girish also created a property price prediction tool using machine learning that was used at the time of credit underwriting for London-based SME mortgage loans. He has a relevant experience of 12.78 years and has a strong technical skillset that includes Senior Software Engineer, SQL, MongoDB, Software Engineer, NodeJS, Ruby, Javascript, Microservices, DevOps, Spark, AI, Data Engineering, Python, ML, Data Scientist, Flask, and more.