Jason Das Email & Phone Number

As a final-year Computer Science undergraduate at Vellore Institute of Technology, I thrive at the intersection of robotics, artificial intelligence, and creative problem-solving. With hands-on experience in developing cutting-edge projects, I specialize in building intelligent systems that merge innovation and practicality.During my tenure as a ROS Developer at Microgenesis TechSoft Pvt Ltd, I designed a differential wheeled robot with LIDAR, RGBD, and ultrasonic sensors, implementing Simultaneous Localization and Mapping (SLAM) for precise navigation. This opportunity allowed me to master frameworks like roscpp, move_base, and rviz, sharpening my expertise in robotics and autonomous systems.My passion for AI extends into diverse domains. I spearheaded GenreEQ, a CNN-powered application that classifies music genres and dynamically optimizes audio equalizers for an enhanced listening experience. Additionally, I co-developed a traffic sign recognition system leveraging YOLOv5 and TensorFlow for smart city applications, showcasing proficiency in deep learning, real-time video processing, and edge computing.Beyond technical projects, I am a hackathon enthusiast who contributed to creating ResQmeals, a web platform combatting food waste through innovative use of Firebase and Next.js.An experienced leader, I manage VIT's Music Club, coordinating events, fostering collaboration, and ensuring operational excellence. My distinction in classical guitar and piano further reflects my dedication to both technical and creative pursuits.Driven by a vision to build impactful technologies, I am eager to contribute my skills in AI, robotics, and software development to projects that redefine possibilities. Let’s connect to discuss innovative ideas and future collaborations!

Listed skills include Recruiting, Training, Management, Healthcare, and 20 others.

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  Ros Developer

  Microgenesis Techsoft

  Aug 2023 - Dec 2023 - Bangalore Urban, Karnataka, India

  1. Engineered a differential wheeled robot equipped with LIDAR, RGBD, and ultrasonic sensors, enabling precise environmental mapping and navigation.2. Designed and implemented advanced SLAM (Simultaneous Localization and Mapping) algorithms to optimize autonomous navigation, achieving high accuracy in dynamic environments.3. Utilized industry-standard libraries such as roscpp, gmapping, move_base, and rviz to streamline robotic functionality and enhance simulation capabilities.4. Led the end-to-end development of the project while maintaining meticulous documentation and codebase management on GitHub.