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.
