Full Stack Developer with AI-Driven Microservices Expertise

SAI DEEPTHI ALISYAM Full Stack Developer

Mail: *************@*****.*** Ph.: +1-928-***-**** LinkedIn PROFESSIONAL SUMMARY

Full Stack Developer with 4 years of expertise in building scalable, secure, and high-performance web applications using Java, Spring Boot,Python, RESTful APIs, and React. Strong background in microservices architecture, database optimization, and cloud deployments on AWS and Azure with CI/CD automation. Hands-on experience integrating Generative AI solutions (LLM/OpenAI APIs) to enable intelligent automation, NLP-driven workflows, and enhanced digital user experiences in enterprise applications. TECHNICAL SKILLS

Programming Languages: Java (11/17), JavaScript (ES6+), SQL, Python Backend Technologies: Spring Boot, Spring MVC, Hibernate (JPA), RESTful APIs, Microservices Architecture, Exception Handling, API Versioning Frontend Technologies: React 16,HTML5, CSS3, Reusable Component Design, Responsive UI Development Databases & Data Management: PostgreSQL, Microsoft SQL Server, Query Optimization, Indexing Strategies, Stored Procedures, ORM Mapping Cloud & DevOps: AWS (EKS, RDS, S3, IAM), Azure App Service, Docker, CI/CD (Azure DevOps Pipelines), Auto-scaling, Load Balancing Security & Messaging: Spring Security, OAuth2, JWT, Role-Based Access Control (RBAC), PCI-DSS Compliance, Secure API Design, Apache Kafka (Producers/Consumers), Event-Driven Architecture AI & API Integration: Generative AI Integration, OpenAI GPT APIs, NLP-based Intent Classification, Secure API Adapters, OpenAPI/Swagger Documentation

Development Practices & Tools: Agile/Scrum, Git, Code Reviews, Unit Testing, Integration Testing, REST Client Testing (Postman) WORK EXPERIENCE

Fiserv - USA Full Stack Developer Aug 2023 – Present

• Designed and developed high-performance backend microservices using Java 17, Spring Boot, and Spring MVC, enabling real-time account services and transaction processing for 200K+ daily users with sub-150ms API latency.

• Designed RESTful APIs using OpenAPI/Swagger, implementing request validation, centralized exception handling, and API versioning to ensure backward compatibility across multiple banking clients.

• Developed responsive banking dashboards using React, JavaScript, HTML5, and CSS3, integrating REST APIs to display real-time transaction insights and improve customer account visibility.

• Implemented data persistence and ORM mapping using Hibernate (JPA) with optimized entity relationships, reducing database load and improving transaction throughput by 32%.

• Engineered event-driven architecture using Apache Kafka producers and consumers, enabling asynchronous transaction notifications and improving system scalability during peak banking hours by 45%.

• Developed secure authentication and authorization mechanisms using Spring Security with OAuth2 and JWT, enforcing role-based access control (RBAC) and ensuring compliance with PCI-DSS security standards.

• Optimized PostgreSQL database performance using indexing strategies, stored procedures, and query tuning techniques, reducing reconciliation processing time by 38%.

• Deployed Dockerized microservices to AWS EKS (Kubernetes), configuring auto-scaling and load balancing to maintain 99.95% platform uptime.

• Integrated Generative AI powered LLM services using OpenAI GPT APIs, implementing NLP-based intent classification and contextual response orchestration to enhance digital banking support automation by 20%. Accenture - India Full Stack Developer Jul 2021 – Sep 2022

• Developed a fraud risk validation module using Python, implementing data processing pipelines and rule-based scoring logic to detect suspicious claim patterns, improving fraud detection accuracy by 15%.

• Designed and developed RESTful backend services using Java 11 and Spring MVC, handling claim submission workflows, approval processing, and centralized exception management within a structured MVC architecture.

• Built responsive user dashboards using React, JavaScript, HTML5, and CSS3, implementing reusable UI components and REST API integration to visualize claim processing status and reduce manual follow-ups by 20%.

• Implemented the persistence layer using Hibernate 5 (JPA), mapping complex entity relationships and optimizing lazy/eager loading strategies for high-volume insurance claim records.

• Developed dynamic client-side form validation and UI state handling using JavaScript and React Hooks, improving user interaction and reducing submission errors across claim intake screens.

• Optimized database performance in Microsoft SQL Server by implementing stored procedures, indexing strategies, and query tuning techniques, reducing claim retrieval time by 22% across 50K+ records.

• Deployed backend services and Python modules to Microsoft Azure App Service, configuring environment variables and scaling policies to maintain 99.9% application availability.

• Automated build and deployment pipelines using Azure DevOps CI/CD, streamlining code integration and reducing release cycle time by 35% across development and QA environments.

• Containerized full-stack applications using Docker,enabling consistent cross-environment deployments and simplifying integration testing workflows.

EDUCATION

Master of Computer Science : Northern Arizona University, USA Bachelor of Electronics and Communication Engineering : Vardhaman College Of Engineering, India CERTIFICATES

Azure developer associate, Aws cloud certified associate

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