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Muhammad Raihan

@muhammadraihan1

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AI engineer and ML researcher at Peer Research Lab, developing GraphRAG for multi-hop legal precedent analysis.

Bangladesh

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At Peer Research Lab, I developed a dual-phase GraphRAG architecture combining Event Evolution Graphs with cognitive reasoning traces for multi-hop legal precedent analysis. My research there has also covered computer vision, NLP stance detection, explainable AI, and retrieval-augmented generation.

Through my deepfake detection thesis, I developed a dual-stream EfficientNet-B4 model that fuses spatial and FFT-frequency features and studied cross-dataset generalization. I also founded ARI Software Lab, where I published five mobile apps on Google Play with more than 1,000 combined downloads.

Experience

Work history, roles, and key accomplishments

Current

Research Intern

Current

Peer Research Lab

Jun 2025 - Present (1 year 4 months)

Gained hands-on exposure to computer vision, NLP stance detection, explainable AI (XAI), and retrieval-augmented generation (RAG). Developed a dual-phase GraphRAG architecture for multi-hop legal precedent analysis.

Computer Vision NLP Explainable AI RAG Graph RAG Machine Learning

Current

Founder & Lead Developer

Current

ARI Software Lab

Jan 2025 - Present (1 year 9 months)

Founded an independent software publishing mobile apps and prototypes to Google Play. Managed the full product lifecycle from ideation to post-launch iteration, publishing 5 apps with 1000+ combined downloads.

Flutter Dart Firebase Product Management ASO Google Play

Business Researcher & Strategist

Trinet Digital Agency

Oct 2024 - Jun 2026 (1 year 8 months)

Conducted market and industry research to identify new business opportunities and growth areas. Developed business plans, market-entry strategies, and execution roadmaps, and designed client proposals contributing to new revenue.

Market Research Business Strategy Competitive Analysis Client Communication