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Karishma Fathima - Sr java developer

[email protected]

Location: Remote, Remote, USA

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Resume file: resume_1793047535997.pdf Please check the file(s) for viruses. Files are checked manually and then made available for download.

Senior Java Full Stack Developer with 11+years of experience in designing, developing, and supporting enterprise applications across banking, healthcare, telecommunications, retail, and technology domains using Java and modern full-stack technologies. Strong expertise in Java, Core Java, Java EE, Spring Framework, Spring Boot, OOP, JPA, Hibernate, JDBC, RESTful APIs, SOAP, Web Services, JSON, and XML for scalable enterprise application development. Experienced in building responsive full-stack applications using Angular, TypeScript, HTML5, CSS3, JavaScript, Bootstrap, JSP, Servlets, and AJAX, delivering data-driven interfaces and business workflows. Proven experience designing microservices and event-driven architectures using Spring Boot, REST APIs, Apache Kafka, Docker, and Kubernetes, supporting scalable, distributed, and high-volume enterprise workloads. Strong cloud and data-platform experience across AWS, Microsoft Azure, Snowflake, PostgreSQL, Oracle, SQL, S3, EC2, RDS, Lambda, CloudWatch, IAM, API Gateway, and AWS Bedrock, supporting secure applications, analytics, and enterprise data processing. Experienced in healthcare application development and interoperability, working with HL7, FHIR, Healthcare APIs, clinical data, patient data exchange, and healthcare analytics to support healthcare enterprise systems. Hands-on AI/ML experience using Python, Scikit-learn, PyTorch, machine learning, NLP, predictive analytics, and data analytics for fraud detection, risk analysis, customer behavior analytics, and intelligent business operations. Strong Generative AI and LLM experience with LangChain, AWS Bedrock, LLM APIs, prompt engineering, embeddings, Vector Databases, and RAG workflows, implementing intelligent automation, contextual data retrieval, and enterprise AI solutions. Experienced across the complete SDLC and Agile/Scrum lifecycle, including requirements analysis, technical design, development, testing, debugging, code reviews, CI/CD, Jenkins, Maven, Git, production support, deployment, and cross-functional collaboration Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree