Vinoth K.

I am an embedded systems engineer with Strong experience in embedded flight software and flight controller development and Ground Control Station Development for UAVs. Having .good Experience in in radar development, and real-time sensor integration. Having Expertise in these areas: Flight Controller, GCS: Ardupilot, PX4, ROS, Mavlink enabled Development. Ground control Station, Flight controller Software Development. My work with Ardupilot and PX4 on defense and agriculture drone GCS (Ground Control Stations) has given me deep experience in embedded software, state estimation, and real-time decision-making in noisy environments. Radar Development: Successfully developed an FMCW mmWave radar from the ground up using Texas Instruments' IWR1642, owning both the RF front-end configuration and the full software stack. This radar is now being deployed for Drone Obstacle Avoidance — giving me practical experience with real-world target detection, Doppler processing, and range estimation. SDR & Spectrum Analysis: Developed a custom spectrum analyser using Software-Defined Radio (SDR) from 3rd party vendors, taking raw I/Q data and turning it into usable spectral information. Multi-Sensor Integration: Integrated RF drone detection/jammers, EO/IR cameras, and acoustic sensors from multiple vendors into a unified software platform. This required synchronizing disparate data streams, handling timing, and building a cohesive picture from heterogeneous sensors — foundational skills for sensor fusion. Sensor Fusion (Growing Expertise): While my primary depth is in individual sensing modalities, I have practical fusion experience while i am working on Ardupilot and PX4. Real-Time DSP & Embedded Systems: Strong proficiency in C/C++ and Python for real-time DSP implementation. My work with Ardupilot and PX4 on defense and agriculture drone GCS (Ground Control Stations) has given me deep experience in embedded software, state estimation, and real-time decision-making in noisy environments. Field Testing & Prototyping: I've taken systems from simulation to prototype to field deployment — including drone-based RF detection and radar systems — so I understand the gap between theory and what actually works outside the lab.