I am an AI and Machine Learning practitioner focused on Generative AI, data science, and deploying practical AI solutions. I have hands-on experience with fine-tuning large language models, building Retrieval-Augmented Generation systems, and developing AI agents with tool and function calling.
I work primarily with Python and the modern machine learning ecosystem, including Hugging Face Transformers, TensorFlow, Scikit-learn, Pandas, and NumPy. My applied work includes NLP, computer vision, image classification, generative image models, predictive modeling, and exploratory data analysis.
I have built solutions for sentiment analysis, topic modeling, named entity recognition, classification, regression, clustering, feature selection, and interactive analytics. I also create Power BI dashboards and Streamlit applications that make data-driven insights accessible for decision-making.
I am experienced in serving machine learning applications with FastAPI and applying MLOps-oriented practices across the model lifecycle. My projects and notebooks are published on GitHub and Kaggle, reflecting my commitment to continuous learning and practical implementation.
Before transitioning into AI and data science, I developed over a decade of engineering leadership experience in combined cycle power plants. As a Senior Shift Engineer, I led operations, diagnosed equipment faults, optimized processes, maintained compliance, and mentored junior operators.
I hold a Bachelor's degree in Electrical Power and Machines Engineering, a Data Science Diploma, and a Generative AI Professional Diploma from the Ministry of Communications and Information Technology. I am passionate about translating complex data and AI capabilities into reliable, deployed solutions.
