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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 the robotics stack that makes ecological monitoring cheaper, longer, repairable, and more  intelligent; drones, sensors, and edge-AI systems for 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/MPI/HPC engineering
Real-world conservation through robotics
Deep technical builds from first principles

This channel is for you.