Nysa

Developed a computer vision system using Python, OpenCV, and NumPy with ArUco markers to estimate real-world distances from static images. Implemented marker detection, scale calibration, and distance computation, achieving ±0.5 cm measurement accuracy. Evaluated alternative calibration methods (ChArUco boards, checkerboards) and identified limitations in real-world field conditions.

Machine Learning Intern at Aerial Delivery Research & Development Establishment (ADRDE), DRDO (2025-05 – 2025-07)

• Developed a computer vision system using Python, OpenCV, and NumPy with ArUco markers to estimate real-world distances from static images.
• Implemented marker detection, scale calibration, and distance computation, achieving ±0.5 cm measurement accuracy.
• Evaluated alternative calibration methods (ChArUco boards, checkerboards) and identified limitations in real-world field conditions.
• Authored comprehensive technical documentation to support future integration into autonomous UAV landing systems.

B.Tech in Electronics and Communication Engineering – Jaypee Institute of Information Technology (2022 – 2026)

Higher Secondary school – St. Anthony's Junior College - ISC (2020 – 2021)