Rutu Jeet Falmare

Optimized Python-based pipelines to reduce real-time robotics communication latency and increase processing throughput by 15-20%. Processed large-scale LIDAR datasets, building optimized storage schemas in SQL/NoSQL for faster data access. Developed automated data workflows to support ML/AI systems, reducing data preparation time by 30%.

Assisting in a research project focused on inter-robot communication latency patterns using Pandas for surveillance systems. Responsible for data collection and analysis utilizing ROS, Gazebo, Lidar sensor data in a simulated warehouse environment. Worked alongside the development team focusing on system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development and experimental simulation for the SauRON systems over 10%.

Developed and deployed a full-stack web app using React.js, Node.js, and MongoDB, enabling fast iteration and modular updates. Improved website performance by 20%, boosted user engagement by 15% through UI optimization and functional enhancements. Executed SEO-driven digital strategies, increasing online visibility and contributing to over 13% growth in business inquiries.