Senior Full Stack Engineer with AI/Cloud Focus

Full Stack Software Engineer

Pavani Rajan

Texas, USA ****************@*****.*** +1-864-***-**** LinkedIn: linkedin.com/in/yourprofile Professional Summary: Full Stack Software Engineer with 4 years of experience designing, developing, and deploying scalable, high-performance web and AI-driven systems across healthcare and enterprise environments. Strong expertise in Java, Spring Boot, C# .NET Core, React, Angular, and cloud-native microservices architectures. Proven track record building REST and GraphQL APIs, real-time systems, and CI/CD pipelines, supporting 200K+ concurrent users and 10M+ daily transactions. Hands-on experience integrating machine learning models into production systems to improve operational efficiency, accuracy, and response times, particularly in healthcare workflows. Skilled in Azure and AWS, Docker, Kubernetes, observability, performance optimization, and secure system design, with a strong focus on HIPAA compliance, RBAC, OAuth2/JWT, and WCAG 2.1 accessibility standards. Seeking mid-to-senior Backend or Full Stack Engineer roles to build reliable, scalable, and business-impacting production systems.

TECHNICAL SKILLS:

Programming Languages: Java, C#, Type Script, JavaScript, Python, SQL, HTML5, CSS3

Backend Technologies: Java Spring Boot, Spring MVC, Spring Security, C# .NET Core, ASP.NET Web APIs, Node.js, Express.js, Hibernate, JPA

Frontend Technologies: React, Angular, Redux, Hooks, Responsive UI Development, Accessibility (WCAG 2.1)

APIs & Architecture: RESTful APIs, Graph QL, Micro services Architecture, Web Sockets, Secure API Design, RBAC, OAuth2, JWT, Distributed Systems

Databases & Caching: PostgreSQL, MySQL, MongoDB, Redis, SQL Performance Tuning, Indexing, Query Optimization, Data Modeling

Cloud & DevOps: Microsoft Azure, Azure ML, Azure DevOps, AWS Lambda, Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD Pipelines, Terraform (IaC)

Monitoring & Observability: Prometheus, Grafana, ELK Stack, Azure Application Insights, Logging, Metrics, Alerting

Machine Learning & AI: Tensor Flow, PyTorch, Scikit-learn, Model Serving, A/B Testing, Model Versioning, Inference Optimization

Testing & Quality: Unit Testing (JUnit, Mockito), Integration Testing, Regression Testing, Test Automation, Performance Testing

Security & Compliance: HIPAA Compliance, Authentication & Authorization, Data Encryption, Audit Logging, Secure Coding Practices

Tools & Methodologies: Git, GitHub, Agile/Scrum, System Design, Code Reviews, Scalability, High Availability EXPERIENCE:

Software Engineer — Clemson University / Prisma Health Feb 2024 – Present

Led end-to-end design, development, and deployment of an AI-driven Triage platform used across 15+ hospitals, integrating machine learning predictions into clinician workflows to improve emergency triage accuracy and response times.

Collaborated with clinicians, product owners, and data scientists to refine ML features, validation logic, and UI workflows, improving model reliability and reducing manual triage effort.

Developed responsive Angular and TypeScript frontends and secure backend services using Java Spring Boot and C#

.NET Core, enabling real-time patient updates and clinical decision support.

Designed and implemented RESTful APIs and microservices architecture, leveraging Redis caching and PostgreSQL query optimization, reducing API latency by 60% and scaling throughput to 12K+ requests per second.

Built and maintained CI/CD pipelines using Azure DevOps, Docker containerization, and Infrastructure as Code (IaC), reducing deployment time from 2 hours to 15 minutes and improving release reliability.

Implemented authentication and authorization mechanisms including RBAC, OAuth2, and JWT to ensure secure access to sensitive healthcare data.

Ensured full HIPAA compliance and WCAG 2.1 accessibility by implementing audit logging, encryption, and accessibility testing throughout the development lifecycle.

Developed automated unit, integration, and regression tests, improving code quality, test coverage, and reducing production defects.

Implemented application monitoring and observability using Azure Application Insights and Prometheus, maintaining 99.9% availability across staging and production environments.

Actively participated in Agile/Scrum ceremonies, including sprint planning, backlog grooming, code reviews, and architectural discussions to drive continuous improvement. Full Stack Engineer — EPAM Systems / Google July 2021 – July 2023

Designed, developed, and maintained high-scale full-stack applications using Java Spring Boot and C# .NET Core backends with React frontends, supporting 200K+ concurrent users in production environments.

Architected and implemented RESTful APIs and GraphQL services handling 10M+ daily transactions, consistently meeting 99.5% SLA and enterprise performance benchmarks.

Built interactive dashboards and real-time data visualizations using D3.js and Chart.js, enabling leadership teams to track KPIs and make data-driven decisions.

Optimized PostgreSQL database schemas, indexing, and complex queries, reducing slow queries by 65% and significantly improving application responsiveness under peak loads.

Containerized microservices using Docker and automated CI/CD pipelines with Jenkins, increasing deployment frequency by 5 and reducing manual release errors.

Integrated observability and logging solutions including Prometheus, Grafana, and the ELK Stack, reducing MTTD and improving root-cause analysis during production incidents.

Implemented authentication and authorization mechanisms and secure API practices, ensuring data protection and compliance with enterprise security standards.

Collaborated with product managers, QA engineers, and distributed development teams across multiple geographies to deliver features on time and within scope.

Actively participated in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and peer code reviews, maintaining high code quality and engineering best practices. PROJECTS:

Real-Time Collaboration Platform React, TypeScript, Java, Spring Boot, WebSockets, Redis, PostgreSQL

• Built a real-time collaborative editor using Operational Transformation, supporting 50+ concurrent users with <100ms latency and 99.95% uptime using WebSockets and Redis Pub/Sub.

• Developed scalable Spring Boot microservices, optimized PostgreSQL queries, and implemented conflict resolution and fault tolerance for distributed systems. AI-Powered Healthcare Triage System React, Python, TensorFlow, Azure ML

• Integrated machine learning model serving pipelines with Java and C# APIs, achieving ~90% accuracy and

<200ms inference latency in production.

• Implemented A/B testing, model versioning, and HIPAA-compliant data flows, reducing manual triage workload by 70% and saving $450K annually.

Visitor Tracker Management System React, Node.js, AWS Lambda, PostgreSQL

• Designed a serverless event ingestion pipeline using AWS Lambda, enabling scalable, cost-efficient processing with 99.9% data accuracy.

• Built real-time React dashboards and optimized backend APIs and database queries, improving response. EDUCATION: Master of Science in Computer Science

Clemson University

Bachelor of Technology in Computer Science

MLR Institute of Technology

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