Machine Learning, Deep Learning, React Native, Hybrid Mobile App Development

1. React Native, React JS, Redux-Saga, Redux, React Native Router Flux, React Native Navigation, CodePush, Firebase, Prettier, ESLint plus a lot of helpful and cool libraries to make the app awesome.

2. Machine learning, Image Processing, Deep Learning

3. Raising of Rust made me impressed of its performance, I love to work with Rust.

4. Model Development: Designed, trained, and optimized machine learning models to solve complex real-world problems, delivering data-driven insights and actionable results.

5. Data Engineering: Preprocessed and analyzed large datasets, utilizing techniques such as feature engineering, data augmentation, and dimensionality reduction to improve model performance.

6. Model Deployment: Deployed machine learning models to production environments, ensuring scalability, reliability, and integration within broader data systems and applications.

7. Performance Optimization: Utilized hyperparameter tuning, model selection, and ensembling to maximize model accuracy and efficiency while meeting project-specific requirements.

8. Collaboration & Documentation: Worked closely with cross-functional teams, providing clear technical documentation and insights to stakeholders for informed decision-making.

I believe that my skills and experiences will fit your project! Feel free to contact me for more information. I'm looking forward to working with you soon. Thank you.

Work Terms

40 hours /week