
Aaryan contributed to the tritonuas/obcpp repository by developing two core features focused on drone mission automation and configuration. He simplified mission parameter boundaries, removing unnecessary mapping boundaries to streamline setup and clarify the distinction between flight and airdrop zones. Additionally, he enhanced autonomous photo capture by implementing logic for image acquisition within designated zones and refining interval-based capture timing. Working primarily in C++ and leveraging expertise in computer vision and embedded systems, Aaryan’s work reduced operator workload and improved post-mission data visibility. The features were delivered without introducing bugs, reflecting a thoughtful and well-structured approach to real-time system design.
February 2026: Delivered two major features in tritonuas/obcpp focusing on mission configuration simplification and autonomous photo capture, delivering clearer flight/airdrop boundaries and richer mission data capture. No major bugs reported; improvements reduce operator overhead and improve post-flight visibility.
February 2026: Delivered two major features in tritonuas/obcpp focusing on mission configuration simplification and autonomous photo capture, delivering clearer flight/airdrop boundaries and richer mission data capture. No major bugs reported; improvements reduce operator overhead and improve post-flight visibility.

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