Under VTU, Approved by AICTE, UGC & GoK. Reaccredited by NAAC with 'A+' Grade, ISO 9001:2015 Certified. Accredited by HLACT, Texas, USA (Internationally) and by NBA (CSE, ECE, ISE)

Faculty

Faculty Details

Faculty Name

Vijay Narasimhamurthy

Brief Profile

Individual with 29 years of global IT industry experience and 8 years of teaching experience, with a strong background in technology leadership, software architecture, project management, and data- driven solutions. I hold an M.S. in Computer Science from Georgia Institute of Technology,Atlanta,USA and a B.E. in Computer Science from Gulbarga University. I have worked with leading organizations including LabCorp, HP, IBM, Deloitte Consulting, Wipro, and GE Medical Systems in roles such as Technical Architect, Technical Lead, Project Manager, and Software Engineer.

My teaching and academic experience spans Data Science, Business Analytics, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, Big Data, Data Visualization, Python, and related Computer Science subjects. I have taught and served as visiting faculty at several reputed institutions. My industry expertise includes enterprise architecture,
database design, software development, performance optimization, business analysis, stakeholder management, team leadership, and large-scale project delivery. I have hands-on experience with technologies including Python, Java, C/C++, PHP, JavaScript, SQL, DB2, Oracle, MySQL, Linux. I also possess extensive knowledge of Data Science, Business Analytics, AI/ML, Big Data, cybersecurity, advanced databases, networking, software architecture, and emerging technologies.

Throughout my career, I have received several professional recognitions, including the IBM Leader of Innovation Award, LabCorp Outstanding Employee Contribution Award, and Wipro Systems CEO Award. Overall, my profile combines deep industry experience, strong academic credentials, technology leadership, and practical teaching expertise, enabling me to effectively bridge the gap between business requirements, technology, analytics, and modern AI-driven solutions.

Designation

Professor Of Practice

Department

Artificial Intelligence & Machine Learning

Date of Birth

23-July-1966

Qualification

BE, MS (Georgia Tech, Atlanta, USA)

Date of Joining

17-Aug-2026

Specialization

Artificial Intelligence and Machine Learning.

Experience

Total Experience – 37 Years
Industry Experience – 29 years
Academic Experience – 8 years