Dhruv Verma

Led the design and development of a React Native diabetic management application integrating personalized ML models. Developed and deployed a Node.js server for CGM data, food logging, and nutrition analysis. Used computer vision and YOLO for real-time food item detection to enhance meal logging accuracy. Managed AWS cloud infrastructure with services like Cognito, S3, Dynamo, and EC2. Architected ML predictive models for personalized nutritional recommendations. Delivered continuous system updates, bug fixes, and feature enhancements to improve performance and stability.

Developed a quantum computing interface enhancing developer accessibility. Created a visualization program for quantum circuits using Qiskit to simplify complex operations. Built quantum extensions for Eclipse and VSCode IDEs. Designed and implemented a web app to interact with Qiskit, Cirq, and IBM Quantum Lab. Improved user experiences for quantum computing through IDE and Jupyter interfaces. Authored technical documentation and user guides to facilitate tool adoption.

Configured IoT devices such as Smart Lights, Bidet Systems, Door Sensors, and Temperature Sensors for seamless integration. Established dedicated IP connections using Node-RED for real-time communication. Developed data visualization tools with sockets and C#. Implemented a robust backend for statistical data storage in AWS RDS. Deployed local databases on Raspberry Pi to enhance system independence and reduce latency. Designed and developed a ReactJS front-end dashboard. Authored technical documentation for device configuration and system architecture.