Hareesh Devulapalli

✦ Provided interactive dashboards using React, Node.js, and MongoDB to track the progress of robotic tasks in real-time, enhancing monitoring efficiency by 40% ✦ Refined legacy code and streamlined the process of job assignment and tracking by adhering to the principles of clean architecture

✦ Designed and developed interactive real-estate brochures with integrated Google maps using React, enabling users to customize layouts, styles, and inputs, dynamically generating visually appealing and data-driven format mapping experience ✦ Reduced running time for custom Google Maps JavaScript API calculations from 7 to 3 seconds using JavaScript Web workers ✦ Optimized rendering and improved load times by 70% by implementing Redux for efficient state management, and leveraging critical path rendering techniques to streamline data flow and prioritize painting of essential content ✦ Implemented interactive information dialogs for map markers, allowing users to drag and drop dialogs for better visibility without losing the position of multiple dialogs, enhancing user control and map usability ✦ Integrated export functionality into the Google Maps page, enabling users to export maps and data in various file formats such as PDF and JPG, facilitating easy sharing and reporting across different products ✦ Exposed vital features of custom Google Maps as a common web component, resulting in seamless integrations across products ✦ Engineered robust RESTful APIs and a NodeJS-based notification service leveraging MongoDB for user subscription management and real-time updates. Used CQRS to separate read and write operations for improving system responsiveness and performance by 15% ✦ Championed the Hackathon twice – first by innovating a method to significantly reduce contract writing time and later by leading a team of 5 to establish a resource-sharing hub

✦ Built a three-stage child-to-child pipeline in Java to improve how threads share and pass data, and reviewed how global variables were used in a shared-thread environment to make the concurrency module more reliable. ✦ Designed and tested a Producer–Consumer setup in Java using ReentrantLock to control access to a shared buffer, preventing data corruption when multiple threads read and write at the same time. ✦ Made the system safer for concurrent use by ensuring all global variable operations were thread-safe, which removed race conditions and data inconsistencies.

📚 Relevant coursework: Algorithms, Computer Architecture, Distributed Systems, Parallel Programming.