Led the development of a robust autonomous vehicle system utilizing ROS2 architecture on an Nvidia AGX Orin platform. This system integrates multiple computing devices, including a Raspberry Pi and an Arduino Mega, to manage sensor data, control commands, and real-time video streaming, significantly improving system reliability by 25%.Developed Custom ROS2 Packages: Created and maintained custom ROS2 packages, such as the road segmentation module using UNetarchitecture, and a GPS communication node, enabling precise object detection and real-time road navigation.Elevated Technical Expertise: Trained and mentored over 20 undergraduate students in advanced machine learning techniques andautonomous systems development

Led the development of a real-time transaction history feature in a client portal using Vue.js and Node.js, resulting in a 20% improvement in user experience. Streamlined data retrieval through REST APIs with Express.js, reducing load times by 25%. Additionally, wrote comprehensive unit tests for transaction history using Jest and integrated with Jenkins for continuous testing, achieving 90% test coverage and ensuring high-quality deliverables

Developed and deployed random forest and time series forecasting models with 85% accuracy, reducing distribution waste by 20%. Automated SQL queries using Python to handle 1M+ records, improving data processing efficiency and cutting query response times by 30%. Created interactive data visualizations using Power BI to monitor real-time distribution patterns, driving improved operational decision-making.