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ric rad

@ricrad

Systems software engineer integrating local LLM inference and computer vision into autonomous drone systems at Africa Drone Company.

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What I'm looking for

I’m seeking an immediately available, exclusive opportunity with Africa Drone Company focused on system software and integrating intelligent algorithms into embedded targets, especially autonomous systems.

I configured and optimized local LLM inference using a hardened fork of llama.cpp and integrated DeepSeek-R1-Distill-Qwen-1.5B, avoiding cloud dependencies during flight. I also wrote memory-buffer management scripts to help prevent allocation failures on embedded hardware.

For computer vision, I implemented HSV-based landing-target tracking for GPS-denied procedures and integrated MobileNet-SSD through OpenCV DNN to detect and track obstacles in flight streams. My work also includes a C++/Lua tactical execution engine with memory zeroization and secure deletion of local mission files if a threat is detected.

I developed geolocated autonomous mission logic for an NVIDIA Jetson companion computer using MAVSDK-C++ and MAVLink v2.0, then validated it with ArduPilot SITL and Gazebo. At DEKA DESIGN, where I’m currently Technical Director / Manager, I structured and automated business operations so my collaborators can manage the company independently.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

ES

ESGIST

Master, Architecture Logiciel

Grade: Mention BI / Décisionnel

Master en Architecture Logiciel (Mention BI / Décisionnel), soutenu avec succès en 2026.

Université de Lomé logoUL

Université de Lomé

Licence, Génie Logiciel

Licence en Génie Logiciel obtenue en 2019.

CK

Collège Fraternité de Kara

Baccalauréat, Série D

Grade: Mention Assez Bien

Baccalauréat Série D (Mention Assez Bien) obtenu en 2012.

Tech stack

Software and tools used professionally

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