Mr. Sanjay Singh Raghav
Assistant Professor · Computer Science & IT, IHMS Kotdwar
teaching
About Mr. Raghav
Mr. Sanjay Singh Raghav is an Assistant Professor in the Department of Computer Science & IT at IHMS Kotdwar. Mr. Raghav specialises in Artificial Intelligence & Machine Learning and Database Management Systems. Brings six years of industry experience as a software engineer – R&D, application development and framework migration – and uses these industry insights to mentor the next generation of tech professionals. Subjects taught include Artificial Intelligence, Machine Learning, Python Programming and 3 more.
Qualifications
Professional
- MCAGL Bajaj Institute of Technology and Management, Greater Noida (Dr. A. P. J. Abdul Kalam Technical University, Lucknow), 2018
- Certification in JavaIIT Bombay
Academic
- BCAInvertis University, Bareilly, 2016
- Class X & XIIBoard of High School and Intermediate Education, Uttar Pradesh
Work experience
Teaching experience: 6 years (IT industry)
- Assistant Professor, Department of Computer ApplicationsIHMS Kotdwar
- Enterprise CMS migration and development (Drupal 7/8/9)Axness Technologies, Bengaluru
- Single-page application (SPA) development with React JSTechBliss Digital Solutions, Gurugram, Haryana
- Scalable web application and framework implementationT-Motion Global Pvt Ltd, Mohali (Chandigarh)
Teaching & roles
Subjects taught
Roles & responsibilities at IHMS
- Member, Anti-Drug Cell
- Member, Discipline Committee
Research & publications
Journal publications
- Artificial Intelligence and Climate Change (2026)
Grants & industry consultancy
- Drupal 7 to Drupal 9 migration & architecture design – enterprise e-commerce client (2023)
- React JS front-end implementation for scalable web apps – TechBliss Digital Solutions (2024)
Awards & achievements
- Active member of the Drupal global open-source community
- Internal team awards for excellence in framework migration and front-end development
- Led the migration of high-traffic enterprise websites from Drupal 7 to Drupal 9/10
- Appreciated by clients for optimising web application performance with React JS
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