🤖 ML Engineer
- Scikit-learn, TensorFlow, PyTorch
- Data preprocessing & feature engineering
- Model development & optimization
- Predictive analytics & classification
Building intelligent systems and scalable applications with Python. I leverage machine learning, data science, and modern full-stack architecture to solve complex problems and deliver production-grade solutions.
Featured Work
Production-grade full-stack system combining ML model inference with a robust backend and interactive frontend. Built with Python, optimized for scale.
End-to-end ML solutions from problem definition to production deployment. I build predictive models, handle data pipelines, perform feature engineering, and deploy scalable ML systems using industry-standard frameworks.
Read MoreComplete application solutions with modern Python backends (FastAPI/Django), responsive frontends (React/Vue), and robust database architecture. I build systems designed for scale, performance, and maintainability.
Read MoreTransform raw data into actionable insights. I design data pipelines, perform advanced analysis with Pandas and NumPy, optimize database queries, and build data infrastructure for ML and analytics applications.
Read More
Engineered end-to-end ML pipeline with scikit-learn for predictive modeling, feature engineering, and model optimization achieving 92% accuracy.
Built interactive React dashboard with real-time data visualization, responsive design, and optimized rendering for high-throughput applications.
Designed normalized database schemas with strategic indexing, query optimization, and implemented stored procedures for complex business logic.
Developed high-performance REST APIs with FastAPI, async/await patterns, input validation, and third-party service integration with robust error handling.
Implemented JWT authentication, role-based access control (RBAC), OAuth integration, and encrypted credential management for enterprise security.
"Eunice delivered clean backend architecture quickly and communicated technical decisions clearly throughout the project."
"Great ownership and consistency. The final product was responsive, polished, and ready for production use."
Deepening expertise in advanced ML techniques, production ML systems, and scalable full-stack architecture with modern DevOps practices.
Open to building new projects and collaborating on exciting opportunities.