Joseph Frangieh

Mechanical Engineering graduate specialising in robotics, autonomous navigation, and AI-assisted systems.

I build robot software end to end: from connecting sensors and planning motion, to testing in simulation and shipping working systems. I also have hands-on experience applying language models to real engineering problems.

Robotics Engineer - SensorFusion Innovations - Paris

(2025-05 - 2025-09)

• Navigation system: built full autonomous navigation for an HVAC duct inspection robot operating in spaces as narrow as 15 x 10 cm, using ROS 2
• Depth camera pipeline: processed over 100k points per frame into clean obstacle maps in real time using Open3D
• Sensor fusion: combined camera and movement data to keep the robot accurately positioned throughout operation
• Path planning: designed logic that balanced route efficiency, obstacle clearance, and collision avoidance on a 5 cm resolution grid
• Simulation and testing: modeled and stress-tested multi-floor ducting network in Gazebo

Technical QA Lead & AI Systems Tester - Legend Has It SRO - Prague

(2021-08 - 2024-09)

• QA lead: led QA coordination between art and engineering teams, managing task allocation, testing priorities, and development deadlines over a 15 month period
• Bug tracking: built workflows that improved issue diagnosis and cut resolution time
• AI testing: validated AI behaviours and game logic under heavy load to confirm system stability
• Language models: fine-tuned and tested 7B parameter models using Hugging Face, evaluating output quality and model limits
• Prompt writing: wrote structured prompts to reduce model load while keeping outputs consistent
• Experimental systems: contributed to early-stage AI-driven and adaptive interaction concepts during pre-launch development

BE - Mechanical Engineering - Notre Dame University (2020-09 - 2026-05)