Professional Overview
Computer Science graduate with hands-on experience in artificial intelligence, computer vision, machine learning, and software development. Experienced in building and deploying AI applications using Python, PyTorch, TensorFlow, OpenCV, PostgreSQL, Docker, and GPU-accelerated environments. Currently working in AI infrastructure and intelligent video analytics, with practical experience in real-time computer vision pipelines, model integration, backend systems, APIs, databases, and production deployment. Also experienced in deep learning research, multimodal human activity recognition, and mobile application development. Interested in AI engineering, computer vision, machine learning, and intelligent software systems, with a strong focus on developing practical solutions for real-world problems.
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
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.
