About

Navneet Singh is a technology leader, teacher, and entrepreneur with over 11 years of relevant experience in the financial services industry. He has a demonstrated history of working in early phase start-ups for building cost-effective Minimum Viable Product (MVP) where time-to-market is critical and scaling it up with full-fledged functionality enabling the business to outperform in fast-paced start-up culture. Currently, he is working as an Engineering Manager at Pine Labs, where he is solving logistics and supply chain-related problems at scale. Navneet is proficient in Databases like MySQL, Postgres, Teradata, and MongoDB and programming languages like Java, Python, and Apex. He has worked as a Tech Lead at Delhivery, where he designed and developed LMS (Loan Management System) that manages a portfolio of 125 crores of loans using tech stack Python, Django, RabbitMQ, and Salesforce. He also designed and developed an EMI payment system that handles payment posting and EMI clearance of 10 crores of loans per month. Navneet has integrated LOS (Loan Origination System) and LMS with the Salesforce platform, created optimized API in Salesforce that improved system performance by 150%. He has implemented a scheme allocation engine on the Salesforce platform that automatically gets applied to loans based on pre-configured rules. Navneet has collaborated with operation, data scientist, and product teams for gathering requirements and defining product features and scope. He has led a team of 6 members, participated in roadmap definition, and implemented engineering best practices. Navneet has also worked as a Tech Lead at Seynse, where he developed a P2P lending platform using Python, Django, and Postgres. He has a Bachelor of Technology (B.Tech.) degree in Computer Science from Shanmugha Arts, Science, Technology, and Research Academy. Navneet's tech stack includes Senior Software Engineer, Salesforce, Python, MySQL, MongoDB, Postgres, P2P, RabbitMQ, Data Scientist, Research Scientist, Java, and Django.