About

Karan Agarwal is an Engineering Manager at HighLevel with a passion for building high-performance teams that solve complex problems while paying attention to performance, cost, scalability, and maintainability. With over 3.6 years of relevant experience, he has a proven track record of optimizing infrastructure, reconfiguring databases, and designing messaging queues to send event notifications to internal services. Karan's notable work includes optimizing infrastructure to save over $1M in cloud costs, reconfiguring ElasticSearch to increase throughput by 500%, decrease cost by 75%, and reduce average sync latency from 250s to 500ms for 600M writes a month, and implementing a live sync service from Firestore to MongoDB that processes 250M events a month with a sub-100ms average delay. He has also architected the database policy for MongoDB, split data across 4 clusters based on size, sharding need, frequency of use, budget, memory, and backup requirements to host 5+ TB of data, and designed the events messaging queue to send 1B+ event notifications to 10+ internal services filtered by a custom query language. Karan's tech stack includes expertise in JavaScript, React.Js, Vue.Js, Node.Js, Docker, Kubernetes, MongoDB, Firestore, ElasticSearch, Redis, and Pub/Sub (GCP). He has also worked with Google Cloud Platform and Digital Ocean. Prior to joining HighLevel, Karan worked as a Tech Lead at a stealth startup and as an Engineering Team Lead at Plinth, the Techno-Management Literary Fest of his college. He holds a Bachelor of Technology (BTech) in Computer Science and Engineering from the LNM Institute of Information Technology. Overall, Karan is a highly skilled and experienced engineering manager with a passion for optimizing infrastructure and building high-performance teams.