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MD ABU SAYEB RAYHAN

@mdabusayebrayhan

AI engineer at Othello Financial Service Co. Ltd. who cut computer vision inference latency by 70% and built production RAG systems.

Bangladesh

Message

At Othello Financial Service Co. Ltd., I built production computer vision pipelines for retail analytics with MoveNet and Takumi Vision, reducing inference latency by 70%. I also developed a real-time NFT generation system that reduced production costs by 50%.

For a Government of Bangladesh project, I led a three-person team to build an offline, multilingual document search system combining NLP and OCR. I also designed and deployed an enterprise RAG chatbot using LangChain, Pinecone, GPT-4o, Flask APIs, and Microsoft Azure.

Experience

Work history, roles, and key accomplishments

Data Scientist

Othello Financial Service Co. Ltd.

Oct 2024 - Mar 2026 (1 year 5 months)

Built production computer vision pipelines for retail analytics using MoveNet and Takumi Vision, reducing inference latency by 70%. Developed a real-time NFT generation system using a fine-tuned YOLO (92% mAP) and MMAction2, reducing production costs by 50%.

Computer Vision MoveNet Takumi Vision YOLO MMAction2 RAG Lang Chain Pinecone GPT 4o Flask Azure IoT Edge Computing

AI Engineer

Government of Bangladesh Project

Feb 2024 - Jul 2024 (5 months)

Led a three-person team to build a multilingual (Bangla/English) intelligent document processing system combining NLP and OCR for keyword and semantic retrieval across PDF, Word, Excel and image formats. Delivered the system as an on-premise desktop app (PyQt with local ChromaDB) operating fully offline within a secure government environment.

NLP OCR RAG PyQt ChromaDB Python Document Processing Team Leadership