Professional Overview
I am a Computer Vision Engineer with practical experience in OpenCV and MediaPipe. I have developed multiple projects in object detection, image classification, and semantic segmentation using deep learning approaches, including YOLO-based architectures and LSTM-based models for sequence and temporal analysis.
Experience
AI Expertise
Skills
Description of Responsibilities
- Developed deep learning models for object detection, classification, and segment
- Collected, cleaned, and preprocessed image datasets. Implemented and optimized Y
- Evaluated models using accuracy, precision, recall, and F1-score. Applied data a
- Researched and implemented advanced computer vision techniques.
- Optimized and maintained machine learning and computer vision pipelines.
Key Achievements / KPIs
- Developed a facial symmetry and asymmetry analysis system using facial landmark
- Implemented a fall detection system using LSTM-based temporal sequence modeling.
- Gained hands-on experience with OpenCV, MediaPipe, YOLO, LSTM, data preprocessin
- Developed and deployed computer vision solutions for object detection, image cla
Areas of Expertise
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
