ANN MARY VARGHESE

I am a highly motivated and detail-oriented AI and Data Science graduate with a strong foundation in machine learning, data science, and MLOps practices. Passionate about leveraging AI to solve real-world problems, I am eager to continuously learn and apply my skills effectively.
Available to join immediately and open to relocation as per organizational requirements. Positive and analytical, with a solid understanding of machine learning principles and techniques.

• IEEE ETIS 2025 – Human Exclusive Alerts in CCTV Surveillance Using Computer Vision (Published in IEEE Xplore)

• IEEE InC4 2025 – A Feedback-Driven MLOps-Based Approach for Fall Detection (To be published)

Human-Exclusive Alerts in CCTV Surveillance 

• Developed an AI-based surveillance system using YOLOv8 and OpenCV to accurately detect humans.
• Fine-tuned the model using COCO dataset and implemented real-time alerts to reduce false alarms.

 MLOps-Based Fall Detection System 

• Built an end-to-end fall detection system using MLOps tools like DVC, MLflow.
• Designed a four-stage ML pipeline and achieved 83% accuracy using VGG16.
• Integrated feedback-based retraining for adaptive learning.