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Modern ecosystems are changing faster than humans can observe. Field researchers rely on slow, manual measurements, while satellites offer delayed, low-resolution snapshots. There’s a massive sensing gap between the ground and the sky. My mission: Build autonomous, intelligent systems that fill this gap, drones, sensors, and edge-AI platforms capable of real-time environmental understanding. I design the entire stack myself: C-based transformers → HPC training pipelines → embedded flight controllers → sensors → ecological applications. Every prototype I publish — BLDC controllers, CPU-optimized LLMs, IMU calibration rigs, test benches; is a building block toward the world’s most accessible ecological intelligence system. If you’re interested in: Embedded AI on CPUs Drones, flight dynamics, attitude control C/AVX/OpenMP/HPC engineering Real-world conservation through robotics Deep technical builds from first principles …this channel is for you.

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