I am a passionate Data Analyst and Deep Learning Researcher dedicated to deriving actionable business insights and improving operational efficiency through artificial intelligence.

With a strong foundation in both data analytics and machine learning, my expertise lies in designing end-to-end AI integrations. My experience ranges from building internal automation platforms utilizing FastAPI and Airflow to developing complex deep learning models using PyTorch. I focus heavily on reducing repetitive tasks and enhancing team productivity by bridging the gap between raw data and practical, real-world applications.

My technical toolkit includes data visualization and dashboarding with tools like Tableau, managing robust backend data pipelines with PostgreSQL and MongoDB, and deploying advanced language models and computer vision algorithms. I have successfully orchestrated Retrieval-Augmented Generation (RAG) systems using the OpenAI API and local LLMs like Ollama, ensuring secure and highly efficient data retrieval workflows.

Furthermore, I have actively participated in projects involving embedded IoT devices, such as the Jetson Orin Nano, where I developed real-time computer vision applications utilizing YOLO models. From analyzing multidimensional datasets to designing sophisticated AI architectures, my goal is always to deliver scalable, high-impact solutions that drive continuous innovation.