SAM NIJIN S

Highly motivated computer science and engineering graduate with a strong passion for skill and knowledge expansion. Actively engaged in self-learning and staying updated with the latest industry trends. Possess valuable experience in developing web applications, image processing systems, and IoT projects through academic work and research. Demonstrated ability to effectively solve real-world problems and confidently present findings at conferences. Excited to bring fresh perspectives and technical expertise to a dynamic development team, fostering efficiency and driving innovation.

• IBM Data Science Professional Certificate - Coursera
• Learning Computer Vision with TensorFlow - Springboard
• Machine Learning for all - Coursera
• SQL (intermediate) skills Assessment - HackerRank

• Harmonizing Technology and Nature: Real-time coconut tree detection using YOLOv5 and drones, 07/01/24, This research encompasses comparison of various YOLOv5 models for coconut crown detection, was published by AIP., The finest model YOLOV5n6 is implemented on a quadcopter to enable the real-time detection from aerial view.
• Eff-Large SNN: A Lightweight & Versatile Approach for One-Shot Image Classification in Face Recognition, 02/01/24, Presented paper, an approach for one-shot image classification (SNN), with limited dataset & published in IEEE explore., Achieved an accuracy of 91.95% trained with custom positive dataset and LFW dataset for negative labels.

• MacroSense: An AIoT-Driven Precised Agriculture with Macro Nutrient Analysis for Optimal Crop Yield Formulated an app integrating AI systems including recommendation & classification with Transfer Learning method., Integrated the models with flutter app and Django, deployed backend in AWS EC2 with EBS for scalable performance.
• Netflix Clone using React JS, Created a Dynamic and responsive site using React JS and Tailwind CSS for better UI, made API integration with TMDB., Launched the website in Github pages (samnijin.github.io/Netflix-Clone-React-App) with Let's Encrypt SSL for security.