Data Scientist • ML Engineer • Full-Stack Developer
Focusing on NLP, statistical modeling, and production ML systems. Learning to combine data science with full-stack development to build AI products.
Selected projects in data science, ML engineering, and full-stack development.
View all projects→A systematic approach to building data-driven solutions that deliver real value.
Define the problem, explore data sources, and establish success metrics. Understanding the business context is critical before diving into analysis.
Develop models, engineer features, and iterate on solutions. Focus on reproducibility and code quality throughout the development process.
Ship production-ready solutions with monitoring and documentation. Ensure models perform reliably and stakeholders can act on insights.
Open to data science roles, ML engineering positions, and research collaborations.
