Mitali Chivate
Software Engineer specializing in Java, Spring Boot, SQL, Angular, AI, and Full Stack Development, building scalable, secure, and high-performance enterprise applications and cloud-native solutions.
My journey in software development began with a passion for solving complex problems through technology. Starting as a Java Developer, I built a strong foundation in object-oriented programming, data structures, and enterprise application development using Java and Spring technologies.
As my career progressed, I expanded into Full Stack Development, designing scalable microservices, building responsive React.js applications, developing RESTful APIs, and working with cloud-native technologies including AWS, Docker, and Kubernetes to deliver secure, high-performance enterprise solutions.
Throughout my career, I have contributed to enterprise projects across healthcare, finance, and cloud platforms, developing distributed systems, optimizing application performance, implementing CI/CD pipelines, and collaborating with cross-functional Agile teams to deliver reliable, scalable software products that create measurable business value.
Today, as a Java Full Stack Developer, I specialize in building cloud-native applications using Java, Spring Boot, React.js, PostgreSQL, Kafka, AWS, Docker, and Kubernetes. I continuously explore AI-powered development tools and modern software engineering practices to build innovative, secure, and scalable enterprise applications.
"Great software is built through clean code, scalable architecture, continuous learning, and a commitment to solving real-world problems."
Results-driven Java Full Stack Developer with 5+ years of experience designing, developing, and deploying scalable enterprise applications using Java 8/11/17, Spring Boot, Spring MVC, Spring Security, Hibernate, JPA, Microservices, RESTful APIs, React.js, TypeScript, and PostgreSQL.
Proven expertise in Cloud-Native Application Development, Distributed Systems, Event-Driven Architecture, Apache Kafka, RabbitMQ, AWS, Docker, Kubernetes, CI/CD, Jenkins, GitHub Actions, SQL Optimization, Performance Tuning, Agile/Scrum, and DevOps, delivering secure, high-performance enterprise software solutions.
Experienced in building modern applications using React.js, JavaScript, HTML5, CSS3, Tailwind CSS, Material UI, MongoDB, Redis, GraphQL, OpenAPI/Swagger, JUnit, Mockito, Postman, Prometheus, Grafana, ELK Stack, while leveraging OpenAI APIs, GitHub Copilot, ChatGPT, and AI-assisted development to accelerate software delivery and innovation.
A career focused on engineering scalable software solutions, from Java and Spring Boot microservices to full stack applications, cloud-native platforms, and AI-powered systems designed for performance, reliability, and real-world impact.
Cotiviti — North Carolina, United States
- Developed scalable healthcare applications using Java 17, Spring Boot, Spring Security, Hibernate, and Microservices supporting claims processing, payment integrity, and provider management.
- Designed and implemented secure REST APIs and GraphQL integrations enabling real-time claims validation, member eligibility verification, and provider data exchange across enterprise healthcare systems.
- Built event-driven microservices using Apache Kafka and RabbitMQ, improving communication between distributed services while reducing processing latency for high-volume healthcare transactions.
- Optimized PostgreSQL, Oracle, Hibernate, JPA, and Redis performance through query tuning, indexing strategies, and database optimization, improving application responsiveness.
- Developed responsive React.js and TypeScript dashboards providing real-time healthcare analytics, operational insights, and claims monitoring for business users.
- Deployed cloud-native applications on AWS EC2, ECS, EKS, Lambda, RDS, and S3 using Docker, Kubernetes, Helm, Terraform, and CI/CD pipelines for highly available production deployments.
- Implemented monitoring with Prometheus, Grafana, ELK Stack, Datadog, CloudWatch, and Sentry, proactively resolving production issues while maintaining high system availability.
- Collaborated with Agile teams throughout SDLC, leveraging GitHub Copilot, ChatGPT, and OpenAI APIs to improve development productivity, code quality, and delivery efficiency.
University of North Carolina Charlotte — North Carolina, United States
- Assisted faculty in developing Java and Spring Boot applications while implementing REST APIs and business logic for academic software systems.
- Designed and optimized PostgreSQL database schemas and SQL queries supporting research data, reporting, and enterprise-level academic applications.
- Developed unit and integration tests using JUnit, Mockito, Maven, Git, and Postman while participating in code reviews and software documentation.
- Supported AWS EC2, S3, Docker, and CI/CD deployments while monitoring application performance and resolving production issues.
- Worked closely with faculty and student teams to automate workflows using AI-assisted development tools including GitHub Copilot and ChatGPT.
Brillio — India
- Developed enterprise Java 11 and Spring Boot microservices with Spring Security, Hibernate, and JPA to build scalable backend applications.
- Created responsive React.js applications integrating secure REST APIs to deliver modern enterprise user experiences.
- Optimized PostgreSQL, MySQL, Oracle databases and Redis caching strategies, significantly improving query performance and response time.
- Built event-driven systems using Apache Kafka and RabbitMQ supporting asynchronous communication across distributed microservices.
- Automated AWS deployments using Docker, Kubernetes, Jenkins, GitHub Actions, and CI/CD pipelines, reducing release time and improving deployment reliability.
- Implemented JUnit, Mockito, REST Assured, Swagger, and Postman testing frameworks to increase application quality and test coverage.
Capgemini — India
- Developed enterprise applications using Java 8, Spring Boot, Hibernate, JDBC, and RESTful APIs to support business-critical applications.
- Designed and optimized PostgreSQL, MySQL, Oracle databases while implementing Redis caching and SQL performance tuning.
- Built responsive React.js interfaces integrating backend REST APIs, improving usability across multiple browsers and devices.
- Supported AWS cloud deployments using EC2, S3, RDS, Docker, Jenkins, Git, Maven, and CI/CD while troubleshooting production issues.
FncallBack Technologies — India
- Developed enterprise web applications using Java 8, Spring Boot, Hibernate, JPA, JDBC, and RESTful APIs delivering scalable backend solutions.
- Built responsive React.js, JavaScript, HTML5, CSS3, and TypeScript interfaces while integrating backend REST services.
- Designed and optimized MySQL, PostgreSQL, and Oracle databases through indexing, stored procedures, and SQL optimization.
- Improved application performance by implementing Redis caching and following software engineering best practices throughout SDLC.
Core Technologies & Engineering Skills
A categorized overview of the technologies, frameworks, cloud platforms, and engineering practices used to build secure, scalable, and high-performance enterprise applications.
Programming Languages
Backend Development
Frontend Development
Cloud & DevOps
Databases
Messaging & Distributed Systems
Testing & API Tools
Monitoring & Observability
Engineering Practices
Production-Ready Enterprise Applications
Enterprise-grade solutions designed, developed, and deployed using modern Java, cloud-native, and AI technologies.
Healthcare Claims Processing & Payment Integrity Platform
Developed a cloud-native healthcare platform using Java 17, Spring Boot, Microservices, Kafka, Redis, and React.js to streamline claims validation, provider management, and payment integrity with secure REST APIs and real-time analytics.
AI-Powered Provider Recommendation & Analytics Platform
Built an AI-enabled healthcare recommendation platform integrating OpenAI APIs and LangChain for intelligent provider search, document summarization, and personalized healthcare recommendations through scalable REST APIs.
Cloud-Native Microservices Deployment Pipeline
Designed and automated enterprise deployment pipelines using Docker, Kubernetes, Jenkins, GitHub Actions, Terraform, and AWS, enabling secure CI/CD, infrastructure automation, monitoring, and highly available production releases.
Certifications & Education
Professional certifications and academic qualifications documented as part of the engineering compliance record.
👋 Welcome to Mitali
Software Engineer | Java & Spring Boot
Full Stack | Backend | AI & Cloud Technologies
📍 North Carolina, USA | Open to Relocate Anywhere in the USA