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Nabil Sadd Sammo

@nabilsaddsammo

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Naval architect turned AI researcher specializing in dataset annotation, ML model development, and computer vision.

Bangladesh

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What I'm looking for

I seek research-focused ML roles applying dataset engineering, computer vision, and model development in collaborative teams that value experimental rigor and publication-quality work.

I am a naval architecture graduate from BUET who transitioned into applied AI and machine learning, focusing on dataset preparation, annotation, and model development.

My work spans research and industry: I contributed high-quality text, video, and audio annotation at xAI and have been a research assistant at AISIP Lab (AUST) since 2024.

I led undergraduate and independent research projects that produced predictive models for ship repair time and marine accident likelihood, and I co-authored multiple peer-reviewed publications on ML applications including road crack detection, crop recommendation, and Alzheimer’s interpretability.

I bring hands-on experience with dataset engineering, image and text labeling, model training and tuning (YOLOv5/YOLOv8, DeiT, Vision Transformer, Swin Transformer), and ML toolkits like PyTorch, TensorFlow, Scikit-learn and Hugging Face.

Experience

Work history, roles, and key accomplishments

Current

Research Assistant

Current

Ahsanullah University of Science and Technology

Jan 2024 - Present (1 year 9 months)

Supported applied AI research in the AISIP Lab, contributing to dataset preparation, model development, and experimentation under faculty supervision for ongoing projects since Jan 2024.

Python PyTorch TensorFlow Model Evaluation

AI Tutor

xAI

Jun 2025 - Jul 2025 (1 month)

Performed high-quality annotation of text, video, and audio datasets with strong precision and rating to support model training and evaluation during a summer engagement.

Data Annotation Annotating Model Training Remote Collaboration

Undergraduate Researcher

Bangladesh University of Engineering and Technology

Dec 2022 - Nov 2023 (11 months)

Implemented ML/DL models to estimate ship repair time using real-world shipyard data, producing a supervised thesis and improving predictive accuracy for maintenance planning.

Machine Learning Deep Learning data preprocessing Python scikit learn Model Training Thesis Writing

Education

Degrees, certifications, and relevant coursework

Bangladesh University of Engineering and Technology (BUET)

Bachelor of Science, Naval Architecture and Marine Engineering

2018 -

Grade: 2.80/4.00

Activities and societies: Undergraduate research, thesis on ship repair time estimation, publications and conference presentations

Pursuing a Bachelor of Science in Naval Architecture and Marine Engineering with focus on design and production; involved in machine learning research and thesis work related to ship repair time estimation.