Engaged in UAV Systems development, where I honed skills in building and designing drones from scratch using Fusion360, while adhering to specific constraints. Experienced in training models, including YOLOv8 and other frameworks, to detect goal points for efficient payload deployment by the drone.Secured National Rank 2 in Phase 1 of Aerothon24 held by SAEINDIA.

I have extensive experience in drone technology and control systems. I've worked with Pixhawk and Mission Planner for precise drone navigation and utilized the Robot Operating System (ROS) for comprehensive drone control. My expertise includes interfacing Arduino with the MPU6050 sensor for accurate altitude measurement and designing custom PID controllers to enhance drone stabilization.During the eYantra competition, I integrated ROS with OpenCV to detect alien presence on an exoplanet using Luminosity Drones. I also have a strong background in machine learning, having trained various models such as Logistic Regression, Linear Regression, K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Random Forests. Additionally, I developed and implemented a Convolutional Neural Network (CNN) using YOLOv8 for analyzing video and live feeds. I also have experience working with GitHub and Docker, ensuring efficient version control and containerization in my projects.

Contributed to drone design and created a composite of aeroply and carbon fiber for the top plate and base plate ensuring in house manufacturing of the drone.Assembled components and configured the CubePilot flight controller using Mission Planner.Set up a Raspberry Pi and ran OpenCV scripts on it for basic shape detection for surveillance.