• Designed and developed additional APIs using Django within a microservices architecture, enhancing scalability and maintainability. • Spearheaded the development of a real-time ML-based video inference platform using Python, leveraging a robust multithreading library. This platform generates real-time alerts and notifications based on events from CCTV RTSP streams, with a keen focus on efficient video feed processing. • Implemented Amazon ECS (Elastic Container Service), EC2 instances, RDS, and S3 for the efficient deployment of Django services, establishing a reliable and scalable infrastructure. • Engineered a client-facing front-end web interface, providing users with control and monitoring capabilities for the onboard system. This interface visualized perceived surroundings and enabled the setting of routes for AI-based solutions. • Pioneered the development of IoT-based solutions to replace CCTV RTSP streams, ensuring independence from traditional CCTV infrastructure. • Automating some of the tasks which are useful for developers/clients.

• Developed, coded, modified and debugged application programs of varying degree of complexity with full independence. • Wrote production-ready code with fluency in modern front-end and back-end frameworks like Django, DjangoRestFramework, Flask & ReactJs. • Worked with senior developers to implement AI-based Solutions.