Navenitha Jeganath

Lead the development of new AI-based modules to enhance automation and personalization, improve system scalability through backend architecture and optimized database queries, collaborate with cross-functional teams to integrate APIs, manage deployments, and ensure seamless user experiences. Conduct code reviews and mentor junior developers, promoting clean coding practices and maintainable architecture. Improve CI/CD pipelines and implement automated testing strategies, reducing deployment time and errors. Design and maintain technical documentation to streamline onboarding and cross-team understanding. Contribute to product roadmap discussions and feature prioritization based on user feedback and analytics. Built and deployed a real-time vacuum performance tracking system with camera-based motion/state detection, backend runtime analytics with timestamp-based interruption measurement, and frontend dashboards; designed alignment validation logic and tuned detection thresholds for accu

Developed AI-driven frontend components, implemented personalized avatar settings and customization features, integrated backend features with APIs and services, performed manual testing and API validation with Postman, and optimized MongoDB queries to improve data retrieval and backend stability. Created system flow diagrams for session handling and streaming, documented workflows for onboarding, and participated in code reviews and debugging within an Agile/Scrum environment.

Completed a 12-week cloud computing program by AWS & PayNet. Gained hands-on experience with AWS services (EC2, S3, Lambda, IAM, RDS), strengthened Linux, networking, and Python scripting, and built and deployed infrastructure and automation workflows in AWS labs. AWS Certified Cloud Practitioner achieved during the program.