Final-year AI and ML Engineer with extensive expertise in the complete machine learning lifecycle, including data engineering, ETL pipeline automation, model training, cloud-scale deployment, and monitoring. Specialized in MLOps with proficiency in AWS infrastructure—EC2, S3, SageMaker, and Lambda—as well as tools such as Docker, Apache Airflow, DVC, and CI/CD using GitHub Actions. Proven track record of delivering reproducible, production-grade AI systems that drive impactful results. Committed to continuous learning and innovation in the rapidly evolving field of artificial intelligence.
Relevant Coursework: Machine Learning, Deep Learning, Computer Vision, NLP, MLOps, Cloud Computing, Agentic AI, Data Structures and Algorithms, Database Systems, OOP