Trinadh P

Python Full Stack Developer @Medline

Chicago, IL, US

Architected and developed a scalable enterprise healthcare platform using Python (Django) with a modular microservices architecture, ensuring secure and efficient data flow across systems.Integrated Generative AI capabilities (OpenAI APIs, LangChain, FAISS) to enable intelligent search and summarization of large medical datasets, enhancing clinical decision-making.Built interactive, responsive front-end interfaces using React.js, improving user engagement and operational efficiency through seamless backend integration.Optimized PostgreSQL performance through advanced queries, indexing, and stored procedures, enabling real-time insights from high-volume datasets.Deployed and maintained cloud-native solutions on AWS (EC2, S3, Lambda, API Gateway), ensuring high availability, scalability, and cost-effectiveness.Automated ETL workflows with Apache Airflow, reducing manual intervention by 40% and accelerating data processing.Developed and documented RESTful APIs using Swagger, supporting both internal microservices and third-party integrations.Streamlined CI/CD pipelines with Jenkins and Docker, reducing deployment times and ensuring consistent releases across environments.Implemented real-time data streaming using Apache Kafka, enabling event-driven processing and improved system responsiveness.Applied machine learning models (Scikit-learn) to derive predictive insights, supporting data-driven healthcare decisions.Collaborated in Agile sprints with cross-functional teams, maintaining robust version control via Git (GitHub/Bitbucket).

University of Central Missouri

Master's degree