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RSIS International

Mr. Anil Kumar Sah

Sr. Machine Learning Engineer | Generative AI and LLM Specialist

SRM Institute of Science and Technology (SRMIST), Main Campus, KTR, India — M.Tech in Cloud Computing
Country
Nepal
Education
Master of Technology (M.Tech) in Cloud Computing, SRM Institute of Science and Technology (SRMIST), Main Campus, KTR, India; (Gold Medalist).Bachelor’s degree in Electronics and Communication Engineering, Institute of Engineering (IOE), Pulchowk Campus, Lalitput, Nepal.
Journal
International Journal of Research and Innovation in Social Science (IJRISS), International Journal of Research and Scientific Innovation (IJRSI), International Journal of Research and Innovation in Applied Science (IJRIAS), International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Biography
Anil Kumar Sah is an Artificial Intelligence and Machine Learning professional with over six years of industry experience in developing, implementing, and deploying AI-driven solutions. He holds a Master of Technology in Cloud Computing from SRM Institute of Science and Technology, Kattankulathur, India, where he graduated as a Gold Medalist. His professional expertise spans Artificial Intelligence, Machine Learning, Natural Language Processing, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Recommendation Systems, and Cloud-Based Machine Learning Deployment. His practical experience includes developing intelligent information retrieval systems, document processing solutions, agentic AI workflows, and production-ready machine learning applications. His interdisciplinary technical background combines advanced AI methodologies with cloud computing and real-world software implementation.Sah’s professional and research interests focus on the design, development, evaluation, and deployment of intelligent systems for practical applications. His areas of interest include Applied Artificial Intelligence, Machine Learning Methodologies, Natural Language Processing, Information Retrieval, Generative AI, Large Language Models, Retrieval-Augmented Generation, Recommendation Algorithms, and AI System Deployment. He is interested in contributing to scholarly peer review by assessing the technical soundness, methodological rigor, reproducibility, originality, and practical relevance of research in these fields. His combination of industry experience, specialized technical knowledge, and applied AI development makes him well suited for research and peer review in Artificial Intelligence, Machine Learning, Natural Language Processing, Generative AI, Information Retrieval, Recommendation Systems, Cloud Computing, and Applied Intelligent Systems.
Research Interests
Artificial Intelligence, Computer Science, Data Science, Information Technology, Machine Learning, Natural Language Processing
Experience
6
Other Reviewer
1000218250
Mr. Abdulrahman Aliyu
FASSIE-MANJU
Mr. Fassie Manju
Screenshot-2026-10-16-183809
Mr. Anil Kumar Sah
Volodya-Dzharov
Dr.Volodya Vladimirov Dzharov
Screenshot 2026-10-19 170852
Dr. Raushan Kumar
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