Experiences
- Specialized Expertise in Data Science and Engineering: Over a year of experience in building data solutions, focusing on data pipelines, cloud infrastructure, AI integration, and interactive dashboards.
- Data Engineering Proficiency: Developed efficient data pipelines to support machine learning and AI models, leveraging cloud environments to streamline workflows.
- Advanced Data Science Solutions: Designed intelligent systems integrating advanced AI methodologies and implemented scalable solutions for data-driven applications.
- Interactive Data Visualization: Created intuitive dashboards to analyze and summarize data, improving decision-making and operational efficiency.
Areas of Expertise and Tools
Areas of Expertise
Tools
I am an experienced professional with expertise in containerization, backend development, database management, data visualization, and data science. Skilled in Docker, I specialize in creating and managing environments, including GPU-enabled setups for high-performance ML and AI workflows. My backend capabilities include working with Apache Airflow for data pipeline scheduling, FastAPI for API development, and Celery with RabbitMQ for asynchronous task queues. In database management, I am adept in both SQL (PostgreSQL, MariaDB) and NoSQL (MongoDB) databases, along with designing data warehouses using star and snowflake schemas for analytical tasks.
On the data science front, I apply machine learning techniques, deep learning frameworks like PyTorch and TensorFlow, and LLM frameworks such as LlamaIndex for AI applications. My expertise extends to creating interactive dashboards using Tableau and Power BI and custom visualizations with Python libraries like Matplotlib, Seaborn, and Plotly. Additionally, I am proficient in cloud-based AI solutions, utilizing platforms such as Google Cloud AI Platform and AWS for building, training, and deploying scalable AI models and workflows, including services like Vertex AI.