Mohammad Albarham Mohammad Albarham

Experience

  1. Aptiv

    Perception and AI Engineer

    Aptiv · full-time

    Jun 2026 – Present Gothenburg, SwedenCurrent

    Building perception tooling and AI for advanced safety products, from sensor fusion and ground truth to the pipelines and GUIs the engineering teams run on.

    • Developing tools and algorithms for camera-LiDAR visualization, ground-truth systems and fusion
    • Automating and managing ISP pipelines, from raw images to fully processed video, for advanced safety products
    • Building scalable GUIs and software wrappers that speed up workflows for the engineering team
    • Supporting pre-production vehicle testing and ADAS data annotation
    • Computer Vision
    • LiDAR
    • Sensor Fusion
    • ISP Pipelines
    • Python
    • C++
  2. Aptiv

    Student Engineer, Vision Systems in Advanced Safety

    Aptiv · full-time

    Mar 2025 – May 2026 Gothenburg, Sweden

    Worked on the vision system behind advanced safety functions: fusing camera and LiDAR, validating AEB on the track, and building the internal tools the team uses every day.

    • Fused camera and LiDAR data to improve the perception stack, building scripts and pipelines with the AI Core and Algorithms teams for vision based systems
    • Analyzed Automatic Emergency Braking (AEB) events and validated safety functions in real-world track tests at the AstaZero proving ground
    • Built Aspera Turbo, a tool that automates complex server workflows and cuts run time from hours to minutes
    • Built Cheetah Visualizer, a real-time signal decoding pipeline that runs live in the vehicle and offline on recorded logs
    • Completed the master's thesis with Aptiv (January - June 2026); see Education
    • Computer Vision
    • LiDAR
    • Sensor Fusion
    • AEB
    • Python
    • C++
  3. Research Institute of Sciences and Engineering (RISE) - University of Sharjah

    Machine Learning Scientist

    Research Institute of Sciences and Engineering (RISE) - University of Sharjah · full-time

    Dec 2022 – Aug 2024 Sharjah, UAE

    Worked on NLP and Computer Vision projects under the supervision of Prof. Ashraf Elnagar and Prof. Imad Afyouni.

    • Responsible for working in NLP and CV projects
    • Developing a chatbot for the Arabic language and integrating it into other applications
    • Developing Arabic Sign Language projects using image classification and object detection
    • Deploying the models to be used in production (Prototypes and Demos)

    Supervised by Ashraf Elnagar, Imad Afyouni

    • PyTorch
    • Transformers
    • Arabic NLP
    • Computer Vision
    • RASA
    • Docker
  4. Kenda AI

    AI Engineer and Co-founder

    Kenda AI · full-time

    Feb 2022 – Jul 2022 Remote

    Co-founded Kenda AI and contributed to building AI-powered solutions.

    • Co-founded Kenda AI and contributed to building AI-powered solutions focused on Arabic language learning and handwriting recognition using Computer Vision
    • Supported the development and deployment of AI models, ensuring smooth integration into production systems
    • Computer Vision
    • PyTorch
    • Arabic Handwriting Recognition
    • Flask
  5. Appswave Information Technology

    Product Owner

    Appswave Information Technology · full-time

    Jan 2022 – Nov 2022 Amman, Jordan

    Led product development and managed cross-functional teams.

    • Responsible for communicating with stakeholders across the board
    • Serving as a liaison between product and development
    • Maximizing the value of the products
    • Managing and prioritizing the product backlog
    • Managing the repositories in Bitbucket
    • Agile
    • Scrum
    • Bitbucket
    • JIRA
  6. Xina AI

    Data Science Intern

    Xina AI · internship

    Sep 2020 – Dec 2020 Amman, Jordan

    Learned and applied AI/ML fundamentals in practical projects.

    • Mastered the fundamentals of Artificial Intelligence
    • Used PyTorch to build multi-layer neural networks and analyze real data
    • Built Convolutional Networks for image classification
    • Learned NLP basics and built Recurrent Networks for sentiment analysis
    • Learned data annotation for ASR, NER, POS tagging
    • Built NLU and Rule-Based chatbots
    • PyTorch
    • Python
    • NLP
    • CNN
    • RNN
  7. Nano Lab - German Jordanian University

    Embedded Systems Intern

    Nano Lab - German Jordanian University · internship

    May 2019 – Jul 2019 Madaba, Jordan

    Worked on embedded systems programming for medical devices.

    • Programmed ARM microcontroller using C-embedded language for blood type checking device
    • Developed software for semi-automated blood grouping apparatus using microfluidic disc technology
    • Implemented centrifugal force-based blood sample movement through microfluidic channels
    • ARM
    • C
    • Embedded Systems
    • Microcontrollers
  8. Innovation for Creativity Development Association

    Trainer - Arduino Course

    Innovation for Creativity Development Association · part-time

    May 2019 – Jul 2019 Amman, Jordan

    Trained students aged 13-19 in electronics and microcontrollers.

    • Trained electronics and microcontrollers practical lectures for students 13-19 years
    • Collaborated with Albaqa's association for Humanitarian helping funded by UNICEF
    • Used Arduino microcontroller to create practical applications
    • Arduino
    • Electronics
    • Embedded Systems
    • Teaching
  9. Phi Science Institute

    Applied Researcher

    Phi Science Institute · part-time

    Feb 2019 – Feb 2020 Amman, Jordan

    Selected as a top-10% innovator into PAIR, Phi's applied research and entrepreneurship program funded by the Embassy of the Netherlands in Jordan, taking a hardware product from problem statement to a fabricated prototype with a multidisciplinary team.

    • Defined a scientific problem from qualitative market research and defended the research proposal before a scientific committee
    • Applied the Delft industrial design approach to turn the concept into a functional hardware product
    • Built the go-to-market strategy: competitive analysis, positioning, messaging and pricing for a hardware product
    • Fabricated the working prototype using 3D printing, CNC, laser cutting and moulding, presented to industry professionals
    • Applied Research
    • Product Design
    • Delft Design Approach
    • Market Research
    • Go-To-Market Strategy
    • Digital Fabrication
    • 3D Printing
    • CNC and Laser Cutting

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