As a machine learning engineer with expertise in Python, MLOps, and big data technologies, I am skilled in developing and deploying machine learning models in production environments. I have experience with building APIs and CLIs, using Terraform for infrastructure as code, and working with cloud technologies such as AWS and GCP. I also have experience with Docker and Kubernetes for containerization and orchestration, as well as model versioning and A/B testing to ensure the reliability and performance of machine learning models.
In addition to my work experience, I have a Bachelors's degree in Computer Science and a background in mathematics and statistics. I am constantly learning and staying up-to-date with the latest developments in the field of machine learning and software engineering. I am always looking for new opportunities to apply my skills and knowledge in exciting and challenging projects.
If you would like to see some examples of my work or learn more about my experience, please feel free to contact me. I am happy to discuss potential projects.
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A Guide to Creating Comprehensive, Effective Software Documentation
Posted on:15 December 2022A guide to creating comprehensive and effective software documentation. It provides tips and guidelines for creating documentation that is easy to read and navigate. This article is aimed at software engineers and developers who want to improve their documentation.
Calling Rust code from Python
Posted on:10 December 2022Call Rust code from Python using the cffi library. It covers the necessary steps and discusses the benefits of using Rust and Python together.
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Weekly Dose of Content #1
Posted on:8 January 2023A Guide to Creating Comprehensive, Effective Software Documentation
Posted on:15 December 2022A guide to creating comprehensive and effective software documentation. It provides tips and guidelines for creating documentation that is easy to read and navigate. This article is aimed at software engineers and developers who want to improve their documentation.
Calling Rust code from Python
Posted on:10 December 2022Call Rust code from Python using the cffi library. It covers the necessary steps and discusses the benefits of using Rust and Python together.
Guide to Using the itertools module for Efficient Iteration and Combinatoric Operations in Python
Posted on:3 December 2022A guide to the itertools library in Python, which provides tools for efficient iteration and combinatoric operations. It covers common use cases and demonstrates how to use the library to improve the efficiency of your code.