I am a Senior Machine Learning Engineer with a strong background in deep learning, MLOps, and AI system deployment. My expertise lies in developing and optimizing machine learning models, particularly in natural language processing (NLP) and chatbot systems. With a deep understanding of Python, as well as libraries like Tensorflow and Pytorch, I have built and deployed AI-powered applications that drive automation and enhance decision-making processes.
I worked extensively with large-scale machine learning models, ensuring their efficiency and scalability in production environments. I have designed and implemented backend architectures using FastAPI, PostgreSQL, and MongoDB, allowing seamless integration of AI solutions into real-world applications. My experience in MLOps has enabled me to build robust CI/CD pipelines, utilizing tools like Docker, AWS (EC2, S3, SageMaker), and Airflow to streamline model deployment and lifecycle management.
Beyond model development, I have a strong foundation in data analysis and feature engineering, which helps in refining datasets and improving model performance.