Vamsi Krishna

WORK HISTORY

EDUCATION

ABOUT VAMSI KRISHNA

AI/ML Engineer with around 4 years of experience designing and developing production-ready machine learning and natural language processing solutions across healthcare and banking domains. Proficient in Python, SQL, FastAPI, PySpark, XGBoost, Random Forest, and advanced feature engineering techniques. Experienced in building scalable ML pipelines and deploying models across cloud platforms including GCP, Azure, and AWS, enabling reliable and high-performance data driven applications.Hands-on experience in Generative AI and NLP solutions, including working with Large Language Models (LLMs), Retrieval Augmented Generation (RAG), semantic search, embeddings, and transformers based architectures. Skilled in applying these technologies to real world business and clinical use cases such as clinical text processing, patient risk prediction, and financial risk modeling, helping organizations extract meaningful insights from structured and unstructured data.Strong background in MLOps and DevOps practices, including ETL pipeline development, containerization with Docker, orchestration using Kubernetes, CI/CD implementation, and model monitoring with drift detection. Knowledgeable in healthcare data security and compliance standards including HIPAA, PHI de-identification, IAM, and OAuth2.0, delivering reliable and compliant AI solutions that improve operational efficiency, enhance predictive analytics, and support data driven decision making.