Professional Overview
AI & Machine Learning Engineer building intelligent systems with predictive modeling, AI evaluation, and multimodal AI. Proficient in Python, PyTorch, scikit-learn, XGBoost, Optuna, SQL, and data analysis. Passionate about transforming cutting-edge AI research into reliable real-world applications.
Areas of Expertise
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
