Promise Adiole

I’m an AI and robotics engineer with practical experience across robotic systems, machine learning, computer vision, multimodal AI, and Generative AI. I build intelligent systems that combine perception, reasoning, automation, backend APIs, and user-facing interfaces.

As an AI & Robotics Research Engineer Intern (04/2025–10/2025) in the Cyber-Physical Systems Group, I developed robotics workflows integrating language models and vision-language models for perception modules and robot execution. I also built components for command interpretation, robot action mapping, multimodal RAG, vector databases, OCR, and semantic task execution, while working with ROS 2, Gazebo, Nav2, robot state data, camera streams, and backend APIs.

Earlier, as a Researcher / Lecturer (01/2021–05/2023), I supervised applied engineering projects across automation, embedded systems, programming, electronics, and AI-oriented problem solving. I guided students through system design, implementation, debugging, documentation, and structured project delivery.

My thesis and projects focus on language-grounded autonomy and agentic AI pipelines—connecting natural-language commands to semantic navigation and ROS 2 execution using ROS 2, Nav2, Gazebo, and multimodal perception (SAM, CLIP/OpenCLIP). I also build full-stack AI applications (FastAPI, Next.js, Docker) for OCR + RAG workflows, and deploy machine learning models such as a ResNet50 transfer-learning tire safety classifier.