# Harsh Patel

> Software Engineer | 4+ Years in Java, Spring Boot & Microservices | AWS & Azure | Kafka | Cloud-Native Systems

Location: Jersey City, New Jersey, United States
Profile: https://flows.cv/harshpatel5

I’m a Full Stack Software Engineer with 3+ years of experience designing and building scalable, cloud-native applications using Java (Spring Boot), Angular, and React across AWS and Azure environments.

My expertise lies in developing microservices architectures, event-driven systems, and high-performance APIs that power real-time financial and analytics platforms. I’ve worked extensively with Kubernetes, Docker, Kafka, and CI/CD automation to deliver secure, production-ready solutions that improve system throughput, reliability, and deployment velocity.

In the fintech and analytics domains, I’ve contributed to:
• Increasing transaction throughput by 50% through microservices optimization
• Building secure REST & GraphQL APIs with OAuth2 and JWT authentication
• Implementing AI-driven risk detection and predictive analytics integrations
• Designing event-driven data pipelines using Kafka and cloud serverless services

I’m passionate about backend engineering, distributed systems, and building resilient platforms that scale. I enjoy solving complex performance challenges, improving system design, and delivering measurable business impact through clean, maintainable code.

Currently open to opportunities in Backend or Full Stack Engineering roles where I can contribute to scalable, cloud-native systems.

## Work Experience
### Software Engineer @ Kestra Financial
Jan 2025 – Present | United States
• Engineered and deployed cloud-native microservices using Java 17, Spring Boot 3, Hibernate, and RESTful APIs on Azure Kubernetes Service and AWS EKS, improving transaction throughput by 50%.
• Developed responsive Angular 17 frontends using TypeScript, RxJS, and Material UI, integrating JWT and OAuth2 secured Spring MVC APIs to enhance real-time portfolio analytics and advisor productivity.
• Built secure backend services using Spring Security, JPA, and Redis caching, implementing role-based access control and OWASP standards to protect sensitive financial data.
• Automated event-driven reconciliation pipelines using Spring Batch, Apache Kafka, Azure Functions, and AWS Lambda,reducing manual discrepancies by 70% while ensuring SOX-compliant auditability.
• Integrated AI-driven anomaly detection and risk scoring models using Python, Scikit-learn, TensorFlow, and Azure OpenAI APIs to strengthen fraud detection and proactive investment risk monitoring.
• Implemented CI/CD pipelines using Azure DevOps, GitHub Actions, Docker, Kubernetes, Terraform, and Maven, achieving 40% faster deployments with 85% test coverage using JUnit and Mockito

### Software Engineer @ Hanlon Financial Center at Stevens Institute of Technology
Jan 2024 – Jan 2025 | Hoboken, NJ
• Architected and developed a scalable full-stack platform using Java Spring Boot, Node.js, MongoDB, and AWS EC2, increasing student engagement by 35% through unified academic access.
• Designed responsive React and Angular frontends using TypeScript and RxJS, integrating secured REST and GraphQL APIs with JWT authentication, improving performance and accessibility compliance by 50%.
• Built backend microservices using Spring Boot, Hibernate, and Redis caching, implementing role-based access control and OWASP security standards to ensure secure academic data processing.
• Integrated AI-powered analytics using Python, Scikit-learn, TensorFlow, and AWS SageMaker to deliver predictive insights and personalized research recommendations, enhancing decision-making accuracy.
• Automated CI/CD pipelines using GitHub Actions, Jenkins, Docker, Kubernetes, and AWS services, achieving 92% test coverage with JUnit and Cypress while reducing production defects by 60%.

### Software Engineer @ Aplus Datalytics
Jan 2021 – Jan 2023 | India
• Developed a customer analytics and insights platform using Java (Spring Boot), Microservices Architecture, and
PostgreSQL, hosted on AWS (EC2, RDS, Lambda) to deliver enterprise dashboards with 40% faster query performance.
• Implemented React.js and TypeScript frontends consuming GraphQL and RESTful APIs, leveraging OAuth 2.0 and JWT authentication to enhance data security and increase platform adoption by 45%.
• Built a real-time data ingestion pipeline using Apache Kafka, RabbitMQ, and Redis caching, enabling low-latency streaming and reducing system lag by 70% across distributed components.
• Automated deployments through Jenkins, Docker, and Kubernetes, integrating SonarQube and Jacoco for continuous quality checks, which improved code reliability and maintainability scores by 30%.
• Applied Reactive Programming (Spring WebFlux) and multi-threading techniques to improve backend concurrency and API responsiveness, reducing server load by 25% under peak traffic.


## Education
### Masters in Computer Science
Stevens Institute of Technology

### Bachelor of Technology - BTech in Computer Science
Dharmsinh Desai University


## Contact & Social
- LinkedIn: https://linkedin.com/in/harsh9802

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Source: https://flows.cv/harshpatel5
JSON Resume: https://flows.cv/harshpatel5/resume.json
Last updated: 2026-04-13