Sai Sree — Software Engineer

Senior Java Full Stack Developer with 8 years of experience building scalable, high-performance enterprise applications across banking and healthcare domains, including AI/ML-driven fraud detection and risk scoring platforms. Expertise in designing microservices-based architectures using Java (11–21), Spring Boot, and REST APIs, supporting high-volume systems processing millions of transactions daily. Strong experience in: 🔹 API Gateway architecture & secure integrations 🔹 Event-driven systems using Kafka & RabbitMQ 🔹 Cloud-native development on AWS & Azure 🔹 Modern frontend development with React & Angular 🔹 Containerization using Docker & Kubernetes 🔹 AI/ML integration using TensorFlow, Scikit-learn & ONNX Runtime 🔹 Fraud detection, risk scoring & intelligent workflow automation Proven ability to deliver secure, scalable solutions with: >OAuth2, JWT & Spring Security >Redis caching & performance optimization >CI/CD pipelines using Jenkins & Azure DevOps >Cloud-native architectures & low-latency APIs Experienced in collaborating with cross-functional teams, mentoring developers, and driving architecture discussions with DevOps, QA, and AI/ML teams to deliver reliable, business-critical platforms. 🔹 Key Achievements ✔️ Built and optimized enterprise banking microservices processing 2M+ daily transactions with high availability and low latency. ✔️ Improved system performance by 30–40% through Redis caching, asynchronous processing, API optimization, and database tuning. ✔️ Designed and integrated AI/ML-powered fraud detection and risk scoring services using TensorFlow, Scikit-learn, and ONNX Runtime within secure banking APIs. ✔️ Developed scalable event-driven architectures using Kafka and RabbitMQ for real-time transaction processing, fraud analysis, and workflow automation. ✔️ Automated enterprise CI/CD pipelines using Jenkins, Docker, Kubernetes, and Azure DevOps, accelerating release cycles and improving deployment stability. 📩 Let’s Connect! I’m always open to discussing opportunities, cloud-native engineering, distributed systems, Java Full Stack development, and AI-enabled enterprise platforms. 📧 saisree02t@gmail.com

Stackforce AI infers this person is a Fintech expert with strong capabilities in cloud-native Java Full Stack development.

Experience: 3 yrs

Skills

Java
Spring Boot
Spring

Career Highlights

Built scalable banking microservices processing 2M+ transactions daily.
Improved system performance by 30-40% through optimization techniques.
Designed AI/ML-powered fraud detection services for secure banking.

Work Experience

HSBC

Senior Full Stack Developer (1 yr 2 mos)

PNC

Java Full Stack Developer (1 yr 2 mos)

Cigna Healthcare

Software Engineer (1 yr 10 mos)

Barclays

Java Developer (3 yrs)

Sai Sree

Software Engineer

3 yrs experience

AI ML PractitionerAI Enabled

Key Highlights

Built scalable banking microservices processing 2M+ transactions daily.
Improved system performance by 30-40% through optimization techniques.
Designed AI/ML-powered fraud detection services for secure banking.

Stackforce AI infers this person is a Fintech expert with strong capabilities in cloud-native Java Full Stack development.

Contact

Skills

Core Skills

JavaSpring BootSpring

Other Skills

AngularJava 21REST APIsKafkaRedisPostgreSQLOAuth2.0JWTSpring SecurityJava 17MicroservicesSQLOAuth2Spring MVCRabbitMQ

About

Experience

3 yrs

Total Experience

3 yrs

Average Tenure

Current Experience

Hsbc

Senior Full Stack Developer

Apr 2025 – Present · 1 yr 2 mos · New York, NY, United States · Hybrid

Designed and developed a centralized microservices-based API Gateway platform for digital banking channels, third-party financial applications and core banking systems. The platform supported high-volume banking requests such as account access, balance inquiries and transaction processing, handling 2M+ daily transactions with high availability, low latency and secure real-time data exchange between modern APIs and legacy systems.
Built scalable backend services using Java 21, Spring Boot, REST APIs, Kafka, Redis and PostgreSQL, with a focus on secure transaction processing and performance optimization. Integrated AI/ML-driven fraud detection and risk scoring services for real-time anomaly detection and implemented OAuth2.0, JWT, Spring Security and RBAC to strengthen API security and access control.
Delivered measurable business impact by improving API performance by ~30%, reducing release cycles by ~35% and cutting incident resolution time by ~40% through Redis caching, CI/CD automation and centralized monitoring using Jenkins, Docker, Kubernetes, Splunk and Log4j. Developed Angular and TypeScript frontend modules for banking workflows and deployed scalable microservices on AWS to support reliable cloud-native banking operations.

Spring BootAngularJava 21REST APIsKafkaRedis+5

Pnc

Java Full Stack Developer

Jan 2024 – Mar 2025 · 1 yr 2 mos · Pittsburgh, Pennsylvania, United States · Hybrid

Designed and enhanced PNC Bank’s Digital Customer Onboarding Platform, a large-scale enterprise banking application supporting seamless online account opening for retail customers. The platform handled end-to-end onboarding workflows including user registration, KYC verification, document submission, credit validation, application tracking and real-time eligibility checks, helping reduce manual processing and improve customer experience.
Built scalable backend services using Java 17, Spring Boot, REST APIs, Microservices, SQL, Spring Security and OAuth2, with a strong focus on secure onboarding workflows, service reliability and data consistency. Integrated third-party KYC, identity verification and credit validation services, improving onboarding automation accuracy and reducing manual verification efforts by approximately 30%. Also optimized inter-service communication and database queries to improve performance during high-volume onboarding traffic.
Delivered measurable business impact by increasing onboarding completion rates by ~20%, reducing page load times by ~25% and improving release stability through Angular optimization, API performance tuning and CI/CD automation. Developed Angular and TypeScript micro-frontend modules using Reactive Forms, RxJS and Lazy Loading, while deploying cloud-native services on AWS EKS using Docker, Kubernetes and Jenkins pipelines to support scalable, reliable and production-ready digital banking operations.

Java 17Spring BootREST APIsMicroservicesSQLSpring Security+2

Cigna healthcare

Software Engineer

Aug 2021 – Jun 2023 · 1 yr 10 mos · United States · Hybrid

Designed and enhanced Cigna’s Healthcare Claims Adjudication Platform, an enterprise-grade system supporting high-volume medical insurance claims processing, provider integrations, eligibility verification, benefit validation and payment processing. The platform handled end-to-end claims lifecycle workflows through EDI X12 transactions, helping automate claim intake, improve adjudication accuracy and ensure reliable, compliant processing of healthcare data.
Built and maintained backend services using Java, Spring Boot, Spring MVC, REST APIs, Kafka, RabbitMQ, MySQL/PostgreSQL, Redis and AWS, with a focus on scalable claims processing, secure provider data exchange and high system reliability. Implemented rule-based adjudication workflows, integrated external provider and eligibility validation services and strengthened security using OAuth2, JWT, RBAC, HIPAA and OWASP best practices to protect sensitive healthcare and claims information.
Delivered measurable business impact by improving claims processing speed, reducing system latency and lowering production defects through backend optimization, Redis caching, database query tuning, automated testing and CI/CD deployment. Developed responsive ReactJS and TypeScript frontend modules for member and provider portals, deployed services using Docker, Kubernetes/OpenShift, Jenkins, AWS EC2, S3 and CloudWatch and improved release consistency, monitoring and overall platform stability.

JavaSpring BootSpring MVCREST APIsKafkaRabbitMQ+4

Barclays

Java Developer

Jul 2018 – Jul 2021 · 3 yrs · Hyderabad, Telangana, India · Hybrid

Designed and contributed to Barclays’ Core Banking & Risk Management Platform, an enterprise banking system supporting secure financial transaction processing, internal system integrations, regulatory reporting, and real-time operational visibility. The platform helped banking teams manage high-volume transactions with better consistency, reliability, and visibility across distributed systems.
Worked mainly on backend development using Java, Spring, Hibernate, REST APIs, JMS, Oracle DB, and Azure, while also supporting internal dashboards using Angular, TypeScript, HTML5, CSS3, and AJAX. Built scalable service layers for core banking modules, developed APIs for partner and internal integrations, implemented asynchronous messaging with JMS, and optimized Oracle database queries to support faster transaction processing during peak banking activity.
Delivered measurable business impact by improving transaction processing reliability, strengthening system performance, and supporting faster delivery through cloud migration and CI/CD automation. Contributed to Azure-based modernization, automated build and release workflows using Azure DevOps, containerized applications with Docker, and improved operational visibility by building real-time dashboards for banking staff.

JavaSpringHibernateREST APIsJMSOracle DB+3