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Vanessa Robinson FVF
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Vanessa Robinson F

@vanessarobinsonf

AI Engineer at WADIC who co-developed a roof assessment application that cut assessment time by 80%.

United Arab Emirates
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At WADIC, I co-developed an AI-powered roof segmentation and measurement application, from rooftop imagery acquisition through pitch estimation and report generation. It reduced average roof assessment time by 80%.

I developed its backend with Python and FastAPI, implemented frontend functionality, and deployed the system on AWS EC2. I also trained Mask R-CNN models for roof slope and house-boundary detection.

At Noon Ecommerce, I recommended packaging changes to reduce shipment air volume and automated reporting pipelines, cutting daily reporting time by 66%. As a Machine Learning Engineer Intern at Al Jemzawy Technology, I developed translator and text summarizer prototypes and an object detection and captioning system.

My projects include DocBot, an NLP chatbot for cancer-related queries that achieved 99.8% accuracy, and ZV Text Summarizer, which generates English and Arabic summaries. I hold a B.Sc. in Computer Science (Artificial Intelligence) and am a TEDx speaker.

Experience

Work history, roles, and key accomplishments

WA
Current

AI Engineer

WADIC

Feb 2025 - Present (1 year 8 months)

Co-developed an end-to-end AI-powered roof segmentation and measurement application, integrating computer vision, rooftop imagery acquisition, pitch estimation, and report generation. Reduced average roof assessment time by 80% through automated segmentation, pitch calculation, and report generation.

NE

Data Analyst Intern

Sep 2024 - Dec 2024 (3 months)

Optimised packaging efficiency across the UAE, KSA, and Egypt by recommending new box sizes, reducing shipment air volume. Automated BigQuery and GSheets pipelines, cutting daily reporting time by 66% and improving accuracy.

AT

Machine Learning Engineer Intern

Al Jemzawy Technology

Aug 2023 - Nov 2023 (3 months)

Developed real-time Hindi–English translator and Arabic/English text summarizers in Python. Built an object detection and captioning system with YOLO to recognize furniture and scenes in video, delivering functional prototypes across computer vision and NLP domains.

Education

Degrees, certifications, and relevant coursework

University of New South Wales logoUW

University of New South Wales

Bachelor of Science, Computer Science with Artificial Intelligence

2020 - 2024

Grade: 3.95/4.0

Activities and societies: Built DocBot, an AI chatbot for cancer-related queries using NLP and PyTorch; developed ZV Text Summarizer using mT5; created Ready.Set.Eat, a real-time ingredient detection app with YOLOv8; designed Heal Life Hospital, a full-stack hospital website; built Martopedia, a Java-based online grocery store; developed an ADHD Diagnostic Tool website using ASP.NET.

B.Sc. in Computer Science with Artificial Intelligence, achieving a GPA of 3.95/4.0.

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