At Velaris, I led architecture and implementation of a Confluence-like collaborative editing platform using React, Node.js microservices, AWS, WebSockets, and Yjs. I also built LLM-powered chatbot tools that retrieve content from linked canvas documents, along with Python tools for the AI copilot and scheduled AI agents.
As a Senior Software Engineer, I mentor junior engineers, conduct code reviews, and contribute to hiring and technical evaluations. I also monitor production systems, resolve issues across distributed services, and optimize platform performance.
Earlier at Velaris, I improved system performance and availability with RDS read replicas, Redis, and graceful shutdowns, and designed PostgreSQL schemas and tuned SQL queries. I also coordinated production releases and handled incidents, while collaborating with Sales, Customer Success, and Product on features and UX improvements that reduced customer churn.
I built scalable SaaS integrations at Velaris using AWS services, and improved their resilience with rate limiting, retries, and deduplication. In my projects, I developed a Java patient-management microservice and a Python model that predicted support ticket resolution time, achieving over 90% accuracy.
