I have experience working with GCP infrastructure, where I specialize in creating analytics and data
pipelines using Airflow and dbt.
In the past, I have also worked with AWS, and for my personal projects, I utilize Heroku. I possess
extensive knowledge of analytical tools, specifically in Python, SQL (Big Query), and pandas.
Additionally, I have experience utilizing machine learning libraries such as scikit-learn and
Pytorch.
Moreover, I have a strong proficiency in API development using Python, working with popular
frameworks such as Flask and FastAPI. For side projects, I have worked with C++ in game development
and OOD best practices.
As a secondary job, I am exploring the capabilities and limitations of Large Language Models (LLM)
and developing Deep Learning Models for image generation and NLP tasks.
Furthermore, I am constantly learning and expanding my knowledge in the field of machine learning.
Currently, I am focused on learning MLflow.