
I’m a passionate engineering student with experience in machine learning, software development, and robotics. I built a CNN-based face recognition model for a smart home project, allowing real-time access control via Raspberry Pi. I’ve worked on various ML tasks like price prediction, customer segmentation, and classification using Python libraries.
In Java, I developed Connect Hub, a social website similar to Facebook, with real-time chat, user profiles, and posts using thread. I’ve also created dashboards and predictive models from real-world datasets like e-commerce and business performance.
As a robotics team member, I contributed to the navigation system of an autonomous ground robot, integrating GPS, IMU, and encoders using Kalman filters and simulating it with ROS and Gazebo.
I hold a diploma in Embedded Systems from AMIT and have strong skills in Python, Java, C++, and MATLAB. I'm currently focused on applying AI in real-world solutions, from automation to analytics.