Hi! I’m Charvi Mendiratta, a software engineer and researcher with a deep interest in robotics, computer vision, and AI systems designed for real-world impact.

Currently, I’m pursuing my Master’s in Electrical and Computer Engineering at UC Santa Barbara, specializing in signal processing and machine learning. I’m also contributing to the BisQue Project at the Vision Research Lab, where I’m helping build a scalable, containerized platform for image analysis tasks like classification, segmentation, and small object detection—particularly in challenging datasets like wildlife aerial imagery.

Previously, I worked as a Robotics Software Engineer at Flux Auto, where I focused on 3D LiDAR-based SLAM, dynamic obstacle tracking, and real-time map generation for autonomous warehouse vehicles. My experience also spans research roles at RRC, IIIT Hyderabad and Panjab University, where I worked on vision pipelines for civil infrastructure assessment and ecological monitoring systems.

Beyond engineering, I’ve contributed to open source through an Outreachy internship with Git, and I’m a proud recipient of the ROSCON Diversity Scholarship and Smart India Hackathon Winner.

Whether it’s building scalable AI pipelines, solving complex robotics problems, or collaborating on research-driven initiatives, I love bridging the gap between theory and impactful technology.

Let’s connect if you’re working on exciting problems in AI, robotics, or vision systems!