Academic foundation
Doctor of Engineering (Artificial Intelligence), Singapore Institute of Technology | Master of Science in Information & Communication Technology, Al-Madinah International University
Learning pageCurriculum vitae
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Doctor of Engineering researcher in Artificial Intelligence at Singapore Institute of Technology.
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Research focus in multimodal AI, LLMs, retrieval, evaluation, and industrial AI applications.
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Former Data Science Head with ownership across pricing, catalog, profitability, and forecasting systems.
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Publication, credential, project, and profile evidence connected across the website.
7+years AI/data experience
11publications
217Google Scholar citations
156+credentials
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SK_Ahammad_Fahad_Full_Professional_CV.pdf
Last updated: 2026-05. The PDF is the formal document; the website pages provide expanded evidence and links.
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SK Ahammad Fahad
AI Researcher & Data Science Leader
AI researcher and data science leader building scalable AI systems across multimodal retrieval, RAG, pricing intelligence, profitability analytics, and business decision systems. Currently a Research Architect at the SIT-NVIDIA Joint AI Center pursuing a Doctor of Engineering in AI. Previously led pricing, catalog, profitability control, and data science functions at Chaldal.
Retrieval-Augmented Generation (RAG)Multimodal AILarge Language Models (LLMs)Generative AIBusiness Data ScienceMachine LearningDeep LearningNatural Language ProcessingBig Data AnalyticsData Mining
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Professional leadership
Data science leadership across pricing, profitability, retail analytics, forecasting, segmentation, and operational ML systems.
Experience pageCredential depth
156+ credentials across AI, deep learning, cloud, data science, business analytics, and project management.
Credential atlasSelected citation signals
Inflectional Review of Deep Learning on Natural Language Processing
IEEE International Conference on Smart Computing and Electronic Enterprise | 2018
Business intelligence through big data analytics, data mining and machine learning
Data Management, Analytics and Innovation (ICDMAI) | 2019
Big Data Visualization: Allotting by R and Python with GUI Tools
IEEE International Conference on Smart Computing and Electronic Enterprise | 2018
A modified K-means algorithm for big data clustering
International Journal of Science, Engineering and Computer Technology | 2016