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Sahodev Roy

@sahodevroy

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I build explainable machine learning systems for healthcare, fraud detection, and inclusive education.

Bangladesh

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What I'm looking for

I'm looking to build reliable real-world AI products where I can apply machine learning, deep learning, computer vision, and LLM workflows, contribute to research-informed engineering, and grow through hands-on collaboration.

I've built explainable AI systems for healthcare, including a TensorFlow and Keras framework for sickle cell disease detection that achieved 95.3% accuracy and a 96.8% F1-score across 569 blood smear images.

My work combines machine learning, deep learning, computer vision, and graph-based fraud detection. I published GNN-AED research at IEEE INCOWOCO 2025 and developed anomaly detection workflows using PyTorch Geometric, GCNs, KNN graphs, and network analysis.

As a Machine Learning Intern at Unified Mentor, I developed end-to-end predictive modeling solutions from preprocessing and feature engineering through evaluation. I also build AI-powered products, including a cloud-based inclusive education platform using React, Kotlin, and Google Cloud Platform services.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Unified Mentor

Jul 2026 - Nov 2026 (4 months)

Developed end-to-end machine learning solutions including data preprocessing, feature engineering, model development, and performance evaluation. Collaborated remotely with mentors and team members on real-world business problems.