Areas Of Interest

Machine and Deep Learning

Machine learning is more than just API calls to scikit-learn and TensorFlow, I deeply understand model architectures and their optimal use cases.

Cloud Compute

I've leveraged virtual servers to automate script execution, train and deploy models, and manage data storage, while seamlessly integrating with databases for efficient data handling.

NLP

I transform unstructured text data into actionable insights using advanced NLP techniques, from sentiment analysis to custom language models, tailored to specific domain needs.

MlOps and CI/CD

Specializing in automating the end-to-end machine learning lifecycle, I integrate MLOps and CI/CD practices to ensure seamless, reliable, and scalable model deployment.

ETL Pipelines

I've designed robust ETL pipelines to ensure clean, structured data from diverse sources, enabling efficient processing and analysis across the organization.

Version Control & Collaboration

I consistently utilize Git for all my projects and Docker for containerization, ensuring smooth teamwork and consistent development environments.