KEVIN VIDHYA SARATHY

[email protected] • 8015871343 • Chennai, Tamil Nadu, India
LinkedIn: in/kevin-vidhya-7095b7323

PROFESSIONAL SUMMARY

Innovative M.Sc. Artificial Intelligence graduate with advanced expertise in machine learning, deep learning, and data analytics, proficient in Python, Java, SQL, and AI frameworks such as TensorFlow and Keras. Demonstrated leadership by spearheading a web design internship project that increased user engagement by 15%, highlighting strong collaboration and communication skills. Skilled in applying neural networks and predictive modeling to develop scalable, data-driven solutions that drive business growth and enhance user experience. Committed to leveraging cutting-edge AI technologies and continuous learning to deliver impactful results within Chennai’s dynamic tech ecosystem.

WORK EXPERIENCE

Web Designer Intern
07/2022 - 08/2022
DLK
• Led the comprehensive redesign of 5+ web projects using Adobe Creative Suite and Figma, integrating advanced color theory and UX design innovations that boosted user engagement by 20% and improved client satisfaction scores by 18%, contributing to a 12% increase in client retention
• Coordinated and mentored cross-functional teams of 8+ designers and developers, implementing targeted coaching and agile methodologies that enhanced skill sets and resulted in project deliveries 15% ahead of schedule, improving team efficiency and morale
• Implemented and optimized Trello and Asana workflows, reducing communication delays by 30% and accelerating project turnaround times, which increased overall team productivity by 25% and supported faster client feedback cycles
• Facilitated 10+ client strategy sessions, applying creative problem-solving techniques and data-driven insights to increase project success rates by 25%, strengthen client relationships, and drive a 15% rise in repeat business through tailored design solutions

EDUCATION

Masters in Artificial Intelligence
01/2023 - 01/2025
Sri Ramachandra Institute of Higher Education And Research GPA: 7.58
Bachelor of Computer Applications
01/2020 - 01/2023
Partician College of Arts And Science GPA: 8.2

SKILLS

PROJECTS

Automated Early Detection of Keratoconus Disease Using Optimized ResNet50
Technologies: ResNet50, ImageNet, Pentacam corneal topography images
• Designed and implemented a deep learning–powered diagnostic system to detect Keratoconus, a progressive corneal disease, at early stages.
• Used ResNet50 (fine-tuned from ImageNet) on Pentacam corneal topography images (Anterior Elevation, Posterior Elevation, Pachymetry).
• System classifies images into Normal, Suspect (early stage), and Advanced Keratoconus with real-time inference.
• Enable automated, early detection of Keratoconus using image-based AI tools in resource-limited settings.
• Avoid reliance on costly imaging hardware like OCT by using widely available Pentacam images.
• Deliver a clinically usable tool with model interpretability and user-friendly UI.