Hi, I’m Lohith Rahul Bojanapati, a Java Full Stack Developer with 5+ years of experience building scalable, event-driven enterprise applications across financial services and cloud platforms. I specialize in Java (11/17), Spring Boot microservices, and React frontends, with a strong focus on workflow automation, dispute management, and SLA-driven processes. I’ve hands-on experience with Kafka, Kubernetes, OAuth2/JWT, PostgreSQL, Redis, and cloud-native CI/CD pipelines, delivering high-availability systems with 99.9% uptime while ensuring security and observability. I have also integrated AI/LLM-powered capabilities for classification, summarization, and intelligent routing to boost operational efficiency and agent productivity.

Lohith Rahul Bojanapati

Hi, I’m Lohith Rahul Bojanapati, a Java Full Stack Developer with 5+ years of experience building scalable, event-driven enterprise applications across financial services and cloud platforms. I specialize in Java (11/17), Spring Boot microservices, and React frontends, with a strong focus on workflow automation, dispute management, and SLA-driven processes. I’ve hands-on experience with Kafka, Kubernetes, OAuth2/JWT, PostgreSQL, Redis, and cloud-native CI/CD pipelines, delivering high-availability systems with 99.9% uptime while ensuring security and observability. I have also integrated AI/LLM-powered capabilities for classification, summarization, and intelligent routing to boost operational efficiency and agent productivity.

Available to hire

Hi, I’m Lohith Rahul Bojanapati, a Java Full Stack Developer with 5+ years of experience building scalable, event-driven enterprise applications across financial services and cloud platforms. I specialize in Java (11/17), Spring Boot microservices, and React frontends, with a strong focus on workflow automation, dispute management, and SLA-driven processes.

I’ve hands-on experience with Kafka, Kubernetes, OAuth2/JWT, PostgreSQL, Redis, and cloud-native CI/CD pipelines, delivering high-availability systems with 99.9% uptime while ensuring security and observability. I have also integrated AI/LLM-powered capabilities for classification, summarization, and intelligent routing to boost operational efficiency and agent productivity.

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Experience Level

Expert
Expert
Expert

Work Experience

Java Full Stack Developer at Citibank
January 1, 2025 - Present
Designed and developed backend microservices using Java 17 + Spring Boot, supporting dispute intake, case lifecycle management, SLA tracking, and escalation workflows across card and transaction disputes. Implemented AI-based NLP services for dispute classification and intent detection, automatically routing cases by category, severity, and product type, reducing manual triage effort by 32%. Built an event-driven processing pipeline with Apache Kafka to ingest dispute events and AI enrichment results, enabling asynchronous processing and non-blocking agent workflows. Developed a responsive agent dashboard with React + TypeScript, enabling case review, AI insights, document viewing, and decision logging in a single interface. Implemented RBAC and OAuth2 + JWT authentication, encryption at rest for documents, and Redis caching to optimize data access. Deployed on Kubernetes with autoscaling and zero-downtime releases, achieving 99.9% uptime. Built observability dashboards with Prometheus
Java Developer at Microsoft
February 1, 2019 - July 1, 2023
Designed and developed backend microservices powering workflow execution, approval routing, and notification services across Microsoft 365 workloads. Implemented workflow orchestration with conditional branching, parallel steps, retries, and SLA-based escalations, reducing manual approval turnaround time by 34%. Integrated with Microsoft 365 APIs (Outlook, Teams, SharePoint) via secure REST connectors. Implemented asynchronous event handling using Kafka / Azure Service Bus, decoupling triggers from execution. Developed document routing and metadata services for SharePoint content workflows with version control and audit-ready traceability. Optimized persistence with PostgreSQL and Cosmos DB, improving state retrieval under concurrency. Implemented OAuth2 + Azure AD authentication and RBAC. Containerized on Kubernetes (AKS) with rolling updates and autoscaling. Established CI/CD pipelines with Azure DevOps and comprehensive observability, reducing MTTR by 25%.

Education

Masters in Computer Science at Pace University
September 1, 2023 - May 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Professional Services