• Led a 6-member backend team in developing and maintaining a large-scale Healthcare / Clinic Management System used by clinics in Singapore and Malaysia.
• Designed and developed RESTful APIs using Django and DRF to support appointment scheduling, queue management, payments, and end-to-end patient workflows.
• Owned end-to-end backend deployment on AWS EC2, configuring Nginx and uWSGI for secure, production-grade performance.
• Implemented Celery + RabbitMQ pipelines for emails, notifications, insurance workflows, and scheduled jobs, improving responsiveness under peak load.
• Built and enhanced core modules including Queue Management, Appointment Management, Split Payments, and patient lifecycle features.
• Integrated multiple third-party healthcare and insurance APIs (including CHAS claims), ensuring secure and reliable data exchange.
• Conducted code reviews, optimized database queries, and improved API performance to ensure scalability and maintainability.
• Collaborated closely with Product and QA teams for sprint planning, requirement refinement, and on-time production releases.

• Developed backend features and REST APIs using Python, Django, and DRF for a clinic management platform.
• Implemented database migrations and schema updates, ensuring data consistency across environments.
• Used Postman extensively for API testing, debugging, and documentation.
• Participated in Agile workflows using Redmine for sprint planning, task tracking, and bug management.
• Worked closely with senior engineers to refine requirements and deliver high-quality backend features.

(Part-time during B.Tech, transitioned to full-time)

• Designed and implemented a backend server using Golang (Gin framework) with MongoDB to support real-time IoT device communication.
• Developed an Android application for home automation, enabling users to remotely control and monitor devices.
• Managed and configured MQTT brokers on cloud infrastructure for reliable, low-latency device messaging.
• Built internal testing and simulation tools for embedded teams using Golang (Fyne UI) and Python (Tkinter), reducing QA effort.
• Collaborated with embedded, mobile, and product teams to ensure seamless hardware–software integration.