Naveen Vemula

Software Engineer

United States4 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Designed APIs handling over 10M payloads monthly.
Reduced p99 latency by 40% through query optimization.
Architected autonomous AI agents for real-world solutions.

Stackforce AI infers this person is a Fintech and SaaS-focused Full-Stack Developer with expertise in cloud-native solutions.

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Skills

Core Skills

Spring BootAwsAngular

Other Skills

GPT-4ReactServer-Sent EventsSpring SecurityJenkinsDockerRxJSNgRxKafkaElasticsearchGrafanaJavaMySQLMongoDBJUnit

About

I am a Full-Stack Software Developer with over 4 years of experience specializing in building cloud-native microservices and event-driven systems that scale. My expertise lies at the intersection of robust backend engineering—using Java (JDK 21), Spring Boot, and Kubernetes—and the evolving landscape of AI-augmented development. Throughout my career, I have focused on solving high-impact performance challenges. At Software AG, I designed REST APIs handling 10M+ monthly payloads and reduced p99 latency by 40% through rigorous query optimization and Redis caching. My work often involves navigating complex distributed environments across AWS and Azure, ensuring zero-downtime rollouts and high availability. Currently, as a Graduate Student and AI Integration Developer at UCM, I am pushing the boundaries of Agentic AI. I’ve architected autonomous AI agents and context-aware RAG systems using Spring AI and MCP to bridge legacy data with LLMs. Winning the HackMidwest Hackathon (sponsored by Zoom) further fueled my passion for building AI-driven solutions that solve real-world problems. Core Technical Strengths: * Backend: Java (Spring Boot, Spring AI, WebFlux), Python, C#. * Cloud & DevOps: AWS (EKS/ECS/Lambda), Kubernetes, Docker, Jenkins, GitHub Actions. * Data & Messaging: PostgreSQL (PgVector), OracleDB, MongoDB, Redis, Apache Kafka. * Frontend: Angular (v14-17), RxJS, NgRx. I am always eager to discuss system design, Agentic AI, or the next big challenge in cloud computing. Let’s connect!

Experience

4 yrs 5 mos

Total Experience

2 yrs

Average Tenure

5 mos

Current Experience

Wells fargo

Software Developer

Jan 2026 – Present · 5 mos · Texas, United States · On-site

Building an AI-powered financial document intelligence platform integrating GPT-4 with Spring Boot microservices, automating extraction and
querying of loan documents, compliance reports, and payment transaction records, reducing manual review time by 42%.
Developing React-based conversational UI with real-time streaming via Server-Sent Events, enabling banking analysts to query financial data through
natural language with sub-second response times.
Designing RAG pipelines backed by vector databases and Spring Boot retrieval services, delivering regulation-aware AI responses integrated with
core payment processing workflows.
Enforcing role-based access control (RBAC) using Spring Security across payment APIs, managing granular permissions for internal banking roles
in line with enterprise security and compliance standards.
Optimizing Spring Data JPA queries and AWS RDS indexing for high-volume transaction datasets, improving payment reporting API response times
for compliance dashboards.
Handling event-driven payment pipelines on AWS (ECS, SQS, Lambda) with Spring Boot; established Jenkins and Docker-based CI/CD workflows
enforcing PCI-DSS compliance across all release stages.
Leading code reviews & mentoring junior engineers on secure integration, Spring Boot microservices design, and payment data handling standards.

Spring BootGPT-4AWSReactServer-Sent EventsSpring Security+2

Software ag

Software Engineer II

May 2022 – Jan 2024 · 1 yr 8 mos

Designed and developed high-throughput REST APIs with Spring Boot microservices, handling over 10M payloads/month to address customer
challenges in data visibility and operational transparency.
Engineered real-time analytics dashboards in Angular using RxJS, NgRx, and Chart.js with 20+ custom visualizations, empowering teams with live
runtime and API performance insights.
Implemented a multi-threaded cache synchronization mechanism across Kubernetes pods, slashing license validation delays by 99.9%.
Built and enforced secure API authentication and authorization flows using Spring Security, JWT, and OAuth2.0, improving cross-service data
exchange efficiency by 35% and reducing auth failures by 20%.
Integrated Kafka-based event streaming to decouple services and guarantee reliable, ordered data flow in distributed agents & core platform services.
Collaborated on a multi-tenant data isolation architecture using Spring Boot and Elasticsearch, ensuring strict customer data separation under highthroughput conditions.
Leveraged Kibana and Grafana for observability, enabling rapid diagnosis of production issues and reducing unplanned downtime by 15%.
Resolved 50+ critical production incidents and customer-reported defects through systematic root cause analysis, significantly boosting platform
stability and client satisfaction.
Performed unit testing with JUnit/Jest and end-to-end testing with Cypress, maintaining high code coverage and release confidence.

Spring BootAngularRxJSNgRxKafkaSpring Security+2

Maxgen technologies pvt. ltd.

Software Engineer

Jan 2020 – May 2022 · 2 yrs 4 mos

Built full-stack web applications using Java Spring Boot and Angular, delivering features across client-facing enterprise portals.
Developed RESTful microservices with Spring MVC and Spring Data JPA, integrating MySQL and MongoDB for data persistence and reporting.
Implemented reactive backend services using Spring WebFlux, improving throughput for asynchronous workflows in high-concurrency scenarios.
Stabilized frontend codebases by fixing 30+ UI defects and refactoring Angular component architecture, cutting bug resolution time by 30%.
Automated backend test coverage with JUnit and Mockito, collaborating in Agile sprints to consistently deliver milestones on time.

JavaSpring BootAngularMySQLMongoDBJUnit+1