I specialize in Full-Stack Embedded Systems and Adaptive Control. I designed and fabricated a custom STM32F4-based Flight Controller PCB and developed a bespoke C-flight stack from scratch using FreeRTOS.
I designed and implemented a proprietary Lyapunov-guided adaptive control law, optimizing complex nonlinear theory into minimalist scalar updates. My architecture enables industrial-grade stability for varying-payload agricultural drones on low-cost, resource-constrained hardware—bridging the gap between hardware-level signal integrity and advanced control theory.
Senior EE student specializing in Python for Control Systems and Signal Processing. Excellent in simulating system responses (Step/Impulse/PID) and processing sensor data from IMU (MPU6050) and STM32/ESP32 hardware. Proficient in using NumPy, SciPy, and Matplotlib to validate hardware designs through digital filtering and time/frequency domain analysis before moving to PCB layout in KiCad.
Experience: 1 - 2 years
I have successfully designed and built a custom 2-layer Flight Controller PCB from scratch. This project integrated an STM32/ESP32 MCU with an MPU6050 IMU via I2C/SPI, requiring precise routing for signal integrity and robust power regulation. By combining my KiCad layout skills with C/C++ firmware development, I created a fully functional, real-time control system. I am highly comfortable with through-hole assembly, component sourcing, and Design for Manufacturability (DFM) for small-scale robotics.
Experience: 1 - 2 years
Specialized in high-performance embedded PCBs for UAV flight control. Designed a custom STM32F411 (BlackPill) carrier board integrating I2C sensors with optimized low-noise power delivery.
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