Research Intern National Chung Cheng University, Taiwan July 2024 - PresentAs a Research Intern at National Chung Cheng University, I am leading the development of an AI-enhanced UAV system designed for 3D mapping and disaster detection. This project involves integrating multi-modal edge AI technologies to improve the system's capabilities. Additionally, I am developing an AI model for stock market prediction based on HS analysis patterns and creating a web application for its deployment. My role focuses on advancing innovative technologies and applying AI solutions to real-world challenges.

Technical OfficerIEDC Community, Saintgits College of Engineering,In my role as a Technical Officer with the IEDC Community at Saintgits College of Engineering, I am actively involved in organizing and leading workshops, guiding student projects, and providing technical support. I coordinate and execute events such as the 2-day workshop "ROS in Action: A Deep Dive into Robotic Development," which promotes innovation and technical skill development. Additionally, I offer mentorship and technical assistance to students, helping them with project development and troubleshooting. This role allows me to contribute to the academic and professional growth of students by facilitating hands-on learning and practical experience in technology and robotics.

Internship Project: Develop a 2D Occupancy Grid Mapping with Overhead CamerasJune 2024 - August 2024 Intel CorporationDuring my internship at Intel Corporation, I worked on a project focused on developing a 2D occupancy grid map of an indoor environment using a network of overhead RGB cameras. This project aimed to enhance Autonomous Mobile Robot (AMR) navigation capabilities.Key Responsibilities:- Camera Calibration: Executed precise calibration to ensure accurate image capture and alignment.- Data Collection: Managed the acquisition of environmental data through overhead RGB cameras.- Image Processing: Applied techniques to create an occupancy grid map identifying occupied and unoccupied spaces.- Simulation: Utilized ROS 2 Foxy and Gazebo for simulating and validating mapping processes.Achievements:- Successfully generated an occupancy grid map, demonstrating the potential of overhead camera systems for detailed indoor mapping.- Addressed challenges related to calibration and data processing, contributing to the refinement of mapping techniques.Skills Gained:- Proficiency in Robot Operating System (ROS) and Python programming- Expertise in image processing and camera calibration- Experience with simulation tools and technical documentation- Enhanced problem-solving and algorithm development skillsThis experience provided valuable insights into AMR navigation and mapping technologies, laying the groundwork for future advancements in autonomous systems.

Engaged in a focused one-week internship centered on AI, Deep Learning, and OpenCV. Enhanced technical proficiency and deepened understanding of advanced robotics concepts.

Secured a one-month internship opportunity at Intel under their prestigious Intel Unnati Program. Conducted an in-depth analysis of Accident Blackspots in Kerala, leveraging GIS tools for mapping andimplementing machine learning algorithms in Python for data clustering.

Participated in an intensive one-week internship, acquiring hands-on experience in microcontroller processing, sensor integration, H-bridge drivers, serial communication, IoT, Firebase integration with NodeMCU, and Android app development for device control.

Completed a one-week internship focusing on industrial machines and equipment. Acquired valuableinsights into the operation, maintenance, and functionality of various industrial systems.