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Ajeet Singh
Ajeet Singh has a decade of cross-disciplinary research, industrial and entrepreneurial experience in the domains - Artificial Intelligence (knowledge; imprecision; vagueness; learning; induction; uncertainty), Machine Learning, Knowledge Discovery, Data-driven decision making, Cryptology, High Performance Computing and Philosophy of Quantum Mechanics. He currently holds the position of Assistant Professor at the School of Computing Science and Engineering, Vellore Institute of Technology (VIT). In addition, he serves as a Subject Matter Expert (CC / SMB Unit) for Tata Consultancy Services (TCS). Beyond academia and corporate involvement, he is the founder of SML2029 Research and Consulting Private Limited, an MSME based in Hyderabad, Telangana, India and visiting researcher at Pentagram Group of companies headquartered at India, U.K., Canada. Over these years, he worked majorly at analyzing business problems across sectors, algorithmic development, prototype analysis, methodology validation, mentoring and software development levels. Ajeet Singh completed his M.Tech in Computer Science from the School of Computer and Information Sciences (SCIS) at the University of Hyderabad, Telangana, India, in 2016. Subsequently, he embarked on a research position at the C.R. Rao AIMSCS, University of Hyderabad, India, where he spent 6 years contributing to academic endeavours. He is Doctorate from Acharya Nagarjuna University (ANU), located in Andhra Pradesh, India. Throughout his career, Ajeet Singh has demonstrated his expertise by authoring 24 research papers in prestigious international journals and conferences. Additionally, he holds a research design Patent in the realm of computational intelligence for natural language processing (NLP). He is also an active reviewer in various high indexed international Journals. He is excited to continue pursuing his passions and utilizing his knowledge, experience and skills in real-time projects. He believes that as technology and associated computing paradigms continue to improve, it may have a substantial impact on the economy with respect to inequality, market power, innovation and employment.
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