Computer Science & Engineering
Assistant Professor & AI Researcher –
Specializing in Machine Learning, Data Analytics, and AI Applications with a strong industry background.


Innovation-driven research in Artificial Intelligence –
I'm an Assistant Professor at Kalasalingam Academy of Research and Education with 2 years of academic experience and 5 years of industry expertise as a Software Developer at KGISL. My research focuses on AI applications and data analytics.
My research focuses on advanced AI applications, particularly in emergency vehicle detection using YOLOv9 & R-CNN technologies, and data analytics methodologies for E-commerce applications. I bridge the gap between academic research and practical industry solutions.
Academic Qualifications & Professional Development
Ramakrishna Institute of Technology, Coimbatore. Advanced studies in AI and machine learning applications.
01 \ MASTER'S DEGREE
Karunya University, Coimbatore. Strong foundation in computer science fundamentals and programming.
02 \ BACHELOR'S DEGREE
Academic & Industry Experience
Kalasalingam Academy of Research and Education
Teaching computer science courses and conducting research in AI applications, serving as Faculty Advisor and contributing to institutional committees.
KGISL (KG Information Systems)
Extensive software development experience in building robust applications and data analytics solutions, providing strong industry foundation for academic career.
Sri Ramakrishna Engineering College, Coimbatore
Initial academic experience supporting faculty in teaching activities and student mentorship, bridging industry experience with academic pursuits.
Various Professional Bodies & Institutions
Active participation in institutional committees, ACM membership, and conducting outreach programs for school children on computer science technologies.
"I believe in combining theoretical knowledge with practical industry experience to provide students with comprehensive learning. My approach emphasizes hands-on projects in AI and data analytics, encouraging innovation while building strong foundations in computer science fundamentals."
Years Teaching
Research Publications
Years Industry
Innovative research in AI applications, emergency vehicle detection, and data analytics methodologies.

01 / RECENT PUBLICATION
Developed advanced detection systems for emergency vehicles using YOLOv9 & R-CNN technologies with multi-source data integration. This research contributes to smart traffic management and urban safety systems.
02 / PATENT & INNOVATIONS
Innovative research in data analytics methodologies for E-commerce sales funnel optimization and AI-powered data analysis assistance with Streamlit and LangChain integration.

Google Scholar Profile
ORCID ID
0009-0000-6515-261X
• ACM – Industry India Day (2025)
• ACM – ROCS (2025)
• ICTE FDP on Research Capabilities (2025)
• AICTE FDP on Mentoring Skills (2025)
• ACM-W Grad Cohort, IIIT Hyderabad (2024)
Testimonials from colleagues and collaborators

RESEARCH COLLEAGUE, IIIT HYDERABAD 2024
Ms. Reshini's research on AI-driven emergency vehicle detection using YOLOv9 & R-CNN is innovative and practically impactful. Her expertise in machine learning and data analytics makes her a valuable researcher.
Effective Implementation Award 2025
Data analytics methodology innovation
IEEE conferences & innovations
Professional society membership
Get in touch for research collaborations and academic discussions
EMAIL –
s.reshini@klu.ac.in
MOBILE –
+91 8248925441
INSTITUTION –
Kalasalingam Academy of Research and Education
School of Computing
Kalasalingam Academy of Research and Education
Anand Nagar, Krishnankoil – 626 126
Tamil Nadu, India