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Mohammad Al-Hudban - Intern – Integrated Cyber-Physical Systems (CPS) in Leoben, Austria

Mohammad Al-Hudban

Intern AI Engineer & Data Scientist specializing in GenAI, LLMs, and RAG

Montanuniversität LeobenAl-Hussein Technical UniversityLeoben, Austria0 Years ExperienceIntern LevelWorks On-Site

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About

Currently working at CBS Lab in Austria, where they implemented/replicated the "Open World Grasping" research pipeline end-to-end. Built a ROS-based RGB-D perception-to-action system using SAM 2.1 segmentation and MoveIt motion planning to generate grasp poses and execute pick-and-place/sorting with a robotic arm.

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Key Strengths

  • End-to-end development of a robot grasping pipeline (camera ingest → segmentation → planning → grasp execution)
  • Hands-on ROS integration using publishers/subscribers for camera input and grasp-pose output
  • Applied state-of-the-art segmentation (SAM 2.1) for robotics perception
  • Leveraged MoveIt for automated motion planning and execution for a robotic arm
  • Built a working pick-and-place/sorting system based on user-selected target objects

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Experience

Intern – Integrated Cyber-Physical Systems (CPS)Montanuniversität Leoben, Chair of Cyber-Physical Systems · Oct 2025 – Feb 2026internship

Education

Al-Hussein Technical Universitybachelor, AI & Data Science (2026)

Skills

Artificial IntelligenceData ScienceGenerative AILarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)LangChainPrompt EngineeringEmbeddingsVector DatabasesTensorFlowPyTorchScikit-learnHugging FaceTransformersComputer Vision

Languages

English

Certifications

Deep Learning Specialization – DeepLearning.AI (Coursera)Mathematics for Machine Learning and Data Science Specialization – DeepLearning.AI (Coursera)CS50x Introduction to Computer Science – Harvard OnlineIndustrial Data Science - Montanuniversität Leoben (MUL)

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EngineeringArtificial IntelligenceData ScienceGenerative AILarge Language Models

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Typically responds within 24 hours

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Mohammad Al-HudbanIntern AI Engineer & Data Scientist specializing in GenAI, LLMs, and RAG