Chandan Monabolu Narayana

As a Research Assistant at the University of Georgia, I am working closely with Intel to develop a Decentralized Zero-Trust IoT Data Infrastructure, combining security with scalable solutions for IoT applications. My focus is on integrating emerging technologies such as blockchain and Web3DB to ensure data integrity, secure access, and seamless communication.

Key Contributions:

• Collaborated with Intel to develop a Decentralized Zero-Trust IoT Data Infrastructure, integrating security with scalable solutions for IoT applications, which enhanced system security and scalability.
• Engineered Web3DB, a microservices based decentralized and distributed database using Interplanetary File System (IPFS) as a storage system, improving data accessibility and integrity.
• Consolidated RabbitMQ and Celery into the Web3DB, reducing response time by 30% and enabling real-time data processing, thereby significantly enhancing system efficiency and scalability.
• Embedded MQTT and REST API for real-time IOT communication, enabling efficient data publishing and retrieval.
• Incorporated blockchain technology for secure data storage and controlled access, safeguarding sensitive IoT information.

During my time at TATA Consultancy Services, I worked on an Automated Operations Platform designed to streamline and automate various operational tasks, enhance efficiency, and reduce manual errors across teams.

• Building an Automated Operations Platform: Developed a system that automated critical operational processes, such as Jira Workflow Optimization, Real-Time Jira Tracking, Automated Reporting, Email Notifications & Alerts, Issue Verification System, Employee Data Management, Jira Analytics & Reporting. This solution saved over 840+ hours annually by eliminating manual workflows and improving the accuracy of issue reporting.
• Backend Development with Python & Flask: Programmed and optimized a Flask-based RESTful API backend with SQLAlchemy, improving query execution efficiency and reducing API response time by 15%, allowing the system to handle 20% more concurrent user requests.
• Database Management & Optimization: Architected and maintained a relational database schema using MySQL and MariaDB, optimizing query performance through indexing, connection pooling, and query caching, leading to faster data retrieval and system responsiveness.
• Cloud Deployment: Streamlined cloud deployment by automating CI/CD pipelines using Jenkins and Docker, reducing API deployment time by 30% while ensuring high availability and scalability in production.
• Automated Testing: Led the automation of testing frameworks using PyTest and Selenium, reducing manual testing time by 40% and accelerating release cycles.
• Integration with Front-End Components: Coordinated with front-end developers to integrate Flask-based backend APIs with the user interface, enhancing cross-functional workflow and improving application responsiveness using HTML, CSS, and JavaScript.
• Feature Enhancement and User Feedback:Engaged with stakeholders to identify and prioritize feature enhancements, driving a 15% increase in product functionality and user satisfaction based on feedback from executives and managers.