About

Baqir Khan is a software professional with over 3 years of experience in developing robust code for high-volume businesses. He is currently working as a Software Engineer 2 at Nektar.ai, a company that provides AI-powered sales productivity tools. In this role, Baqir has designed and built an architecture to calculate and store computed properties asynchronously, eliminating the need for joins and fetching results in O(1) instead of O(n). He has also enhanced Nudges further into boards, a web dashboard called Console, which provides data asynchronously in a lazy-loaded manner. Baqir has dockerized the entire application using docker compose, using MongoDB and Postgres images, and has reduced developer onboarding time by over 90%. He has also improved error handling and logging using tools such as papertrail and datadog and has contributed to an open-source project called Graffy, introducing features like query batching and increasing performance by up to 70%. In his previous role as a Software Engineer at Nektar.ai, Baqir took the existing architecture of generating prompts using setTimeout and made it distributed using multiple workers and message queues, stored state in a NoSQL DB, and improved the overall reliability of the system. He also developed an automated email functionality that included Nudge data and sent it at a specific time based on the user's timezone. Baqir has a Bachelor of Technology degree in Computer Engineering from Aligarh Muslim University. He has worked with a range of technologies, including AI, Docker, MongoDB, Salesforce, Postgres, Elastic Search, and Neural Networks. He has also performed K-Means Clustering on Enron's Data-set of emails after expressing them to equivalent Google's Universal Sentence Encoder 512✕1 Dimension vectors using TensorFlow to meet the objective of clustering emails that have a similar theme or intent. Overall, Baqir has 4.61 years of relevant experience and is skilled in both backend and frontend development. He has a passion for exploring new technologies and contributing to open-source projects.