About Me
![my_pict](/_next/image?url=%2Fabout%2Fdeveloper.jpg&w=3840&q=75)
Motivated Lifelong Learner
Throughout my time in University, I've had the opportunity to equip myself with various fundamental knowledge revolving around Computer Science, such as Operating Systems, Database Management Systems, Algorithms, many more!
My Interests
Data Science & ML
I love exploring and uncovering hidden patterns to gain insights from vast amount of data to come to a decision/solution with a strong basis.
Generative AI
I love the changes that GPT models have brought about to innovations. Currently doing research on the topic to gain a much better understanding of the topic.
Backend
I enjoy implementing the backbone of applications, to ensure smooth data flow, efficient processing, and secured interactions.
My Experiences
Developed computer vision algorithms in OpenCV to perform color detection, contour extraction, and 2D coordinate mapping of colored objects to enable robotic arm calibration for pick and place operations.
Maintained and optimized existing code for an autonomous rover bot by refactoring and debugging to improve performance and precision.
Developed a cutting-edge Web Visualizer to facilitate real-time hosting of live camera feeds, live point clouds from the LiDAR Sensor, on-demand SLAM, and alarm system detection using React js, three js, and ros.
Built a robust backend infrastructure utilizing the ROS communication protocol, rosjs, and seamlessly integrated Livox SDK API for its detection capabilities on the Web Visualizer.
Calculated and retrieved the IMU of the LiDAR within the LiDAR Simulation with perfect accuracy rate, enabled the creation of a realistic SLAM map of the simulated landslide, and moving cars.
Successfully calibrated the live camera feeds result and overlay them on top of the point cloud feed based on theintrinsic and extrinsic parameters of the camera.