Poojitha Puligundla

Experienced Full Stack Software Developer with expertise in designing, developing, and optimizing web applications across transportation and manufacturing industries. Proficient in full-stack technologies, with a focus on enhancing performance, scalability, and user experience. Demonstrated ability in integrating advanced analytics and machine learning, managing cloud-based deployments, and optimizing data management solutions.

• SQL - HackerRank, 08/2024, Present, https://www.hackerrank.com/certificates/242c64437532
• UI/UX - Great Learning, 08/2024, Present, https://www.mygreatlearning.com/certificate/LWWOTUJW
• React - HackerRank, 08/2024, Present, https://www.hackerrank.com/certificates/c39ab249315e
• Node.js, Express, MongoDB & More: The Complete Bootcamp, 2023, 09/2023, https://www.udemy.com/certificate/UC-94001fca-6379-42c1-9395-f8e180d1f6ab/
• React JS Certification - Udemy, 12/2022, Present, https://ude.my/UC-1d6e773d-3236-4c85-9b7d-eae45cda6090
• Introduction to internet of things - NPTEL, 05/2021
• IBM Agile Explorer, 02/2022, Present, https://www.credly.com/badges/8ea167fc-00ac-4b85-a784-d3b0c3d640c3/linked_in_profile
• IBM Application Developer -Java Full Stack, 01/2022, Present
• Security and Privacy by Design Foundations, 02/2022, Present, https://www.credly.com/badges/724326fd-05b8-4f59-8fdc-f5874f0d7ab5/linked_in_profile
• Enterprise Design Thinking Practitioner, 02/2022, Present, https://www.credly.com/badges/0cc0d85e-43b6-4aef-a0bf-c8a3a4124d0e/linked_in_profile

• Running
• Reading Books
• Playing Guitar

Project Name: QX Nava (https://www.qxnava.ai)

Description:

Specifically tailored for the manufacturing industry, QXnava is an AI-powered platform that focuses on optimizing manufacturing processes, supply chain management, and operational efficiency. It integrates AI and machine learning to address the specific needs of mid-sized manufacturers.

Technologies Used:

• Frontend: React for building interactive and responsive user interfaces.
• Backend: Node.js with Express.js for RESTful API development and server-side logic.
• Database: MSSQL for data storage, query optimization, and performance tuning.
• Integration: Power BI for dynamic dashboards, custom reports, and advanced data visualization.
• Deployment: Azure App Services, App Registrations, Containers, Storage Accounts, Groups.

Responsibilities:

• Integrated data from manufacturing-specific sources such as ERP and CRM systems, handling both structured and unstructured data to ensure comprehensive data coverage.
• Developed and integrated a generative AI chatbots to provide real-time support, automate routine tasks, and enhance user interaction by addressing specific queries related to manufacturing processes and supply chain management.
• Developed and maintained a scalable platform using Node.js with Express.js for backend services and React for the front end, ensuring a seamless user experience.
• Integrated Power BI for dynamic dashboards and custom reports, providing advanced data visualization to support data-driven decision-making.

Project Name: Fleet Intellect (https://www.fleetintellect.ai)

Description:

Developed FleetIntellect, an advanced fleet management platform for the transportation and manufacturing sectors, leveraging AI and data integration to optimize fleet operations, maintenance, and reporting.

Technologies Used:

• Frontend: React for building interactive and responsive user interfaces.
• Backend: Node.js with Express.js for RESTful API development and server-side logic.
• Database: MSSQL for data storage, query optimization, and performance tuning.
• Integration: Power BI for dynamic dashboards, custom reports, and advanced data visualization.
• Deployment: Azure App Services, App Registrations, Containers, Storage Accounts, Groups.

Responsibilities:

• Architected and developed full-stack components using React, Node.js, and Express.js to deliver scalable and efficient web applications.
• Implemented RESTful APIs and microservices architecture to support real-time data integration and analytics.
• Designed and optimized SQL queries and database schemas in MSSQL to ensure high performance and data consistency.
• Integrated Power BI for advanced analytics, creating interactive dashboards and custom reports for data-driven decision-making.
• Collaborated with data scientists and engineers to integrate machine learning models for predictive maintenance and fleet optimization.
• Conducted rigorous testing, debugging, and deployment processes to maintain platform reliability, security, and scalability.

Project Name: Self-Service Check in Application for Kiosk and Web (JetBlue Airways)

Technologies Used: Spring Application consuming Sabre Web services, implementing business logic, and interacting with Kiosk and Web client. Kiosk client using HTML, CSS, Javascript and Java Applet. Web client using Html, CSS, Javascript, JSP, Spring Web Flow.

Responsibilities:

• Development and maintenance of JetBlue Airways' Self-Service Check-in Application for kiosk and web platforms.
• Integrated Sabre Web Services to manage customer interactions, transactions, and real-time data updates.
• Developed and optimized responsive UIs for kiosk (HTML, CSS, JavaScript, Java Applet) and web (JSP, Spring Web Flow) clients.
• Streamlined request/response handling for improved reliability and seamless user experiences.
• Managed production support, deployments, client demos, and requirements gathering, ensuring robust and user-friendly deliverables.
• Delivered key features in the application that enhanced customer self-service capabilities in the airline industry.