Results-driven Software Engineer with expertise in data-centric roles, leveraging Machine Learning, Deep Learning, and Large Language Models to build scalable, impactful solutions. Skilled in developing and deploying AI models, integrating machine learning pipelines, and optimizing algorithms to drive automation, efficiency, and data-driven decision-making. Experienced in end-to-end solutions, from data processing and model training to cloud deployment with platforms like AWS SageMaker and VertexAI. Adept at containerizing AI models using Docker for scalable, production-ready API deployments. Passionate about bridging the gap between AI research and real-world applications, with a focus on creating robust infrastructures and using tools like MLFlow for experiment tracking and model versioning.
