FNU VARSHITHA NAGARAJA
Location: CA Email: *********.**********@*****.*** Phone: 626-***-**** LinkedIn SUMMARY
• Software Engineer with 4+ years of experience in building scalable, full-stack web and enterprise applications across fintech and procurement domains.
• Proficient in modern technologies including React.js, Spring Boot, Node.js, Kafka, and AWS, with expertise in both frontend and backend development.
• Experienced in designing and deploying microservices architectures and event-driven systems with strong focus on performance, security, and maintainability.
• Built and maintained cloud-native solutions using Docker, Kubernetes, and serverless functions (AWS Lambda), ensuring high availability and cost efficiency.
• Integrated AI/ML tools into production systems for intelligent automation, improving business decision-making and reducing manual effort.
• Strong in system design, object-oriented principles, and data structures & algorithms, with a focus on building reliable, testable, and scalable codebases.
• Hands-on with DevOps practices, CI/CD pipelines, and observability tools like GitHub Actions, Prometheus, and Grafana to ensure smooth deployments and monitoring.
• Skilled in implementing secure systems using OAuth 2.0, JWT, and RBAC, ensuring compliance and data protection.
• Collaborative team player, experienced in Agile/Scrum environments, delivering high-impact features through close coordination with cross-functional teams.
SKILLS
• Programming Languages: Java, JavaScript, TypeScript, Python, Bash
• Software Engineering: Object-Oriented Design (OOD), Design Patterns, System Design, Data Structures & Algorithms, SOLID Principles
• Frontend Technologies: React.js, Next.js, HTML5, CSS3, Tailwind CSS, Bootstrap, Redux, Zustand
• Backend & API Development: Node.js, Express.js, Spring Boot, FastAPI, REST APIs, GraphQL, Microservices Architecture
• Databases & Storage: PostgreSQL, MySQL, MongoDB, Firebase, SQLite, Prisma ORM, Mongoose
• DevOps & Cloud Platforms: Docker, Kubernetes (basic), GitHub Actions, AWS (EC2, S3, Lambda), Vercel, Netlify
• CI/CD & Infrastructure Automation: GitHub Actions, AWS CLI, Docker Compose, Jenkins (basic)
• Testing & Quality Assurance: Unit & Integration Testing, Jest, React Testing Library, Chrome DevTools, Test-Driven Development (TDD)
• Security & Authentication: OAuth 2.0, JWT, Firebase Auth, Role-Based Access Control (RBAC), Secure API Design
• Monitoring & Observability: Prometheus, Grafana, Logging (ELK), Tracing & Alerting (basic)
• Tools & Utilities: Git, GitHub, Bitbucket, Postman, ESLint, Prettier, Webpack, NPM
• Project Management & Collaboration: Agile, Scrum, JIRA, Trello, Notion, Confluence WORK EXPERIENCE
JPMorgan Chase & Co. January 2025 – Present
Software Engineer
• Architected a real-time payment orchestration platform aligned with ISO 20022 standards and SWIFT gpi, leveraging Java, Kafka, and microservices to reduce transaction latency by 30%.
• Developed scalable backend services for payment validation, reconciliation, and FX rate management, deployed on Kubernetes using Helm for high availability across global regions.
• Crafted a dynamic monitoring dashboard with React.js and Redux Toolkit to trace, audit, and visualize payment flows, enhancing operational transparency and traceability.
• Integrated observability tools such as Prometheus, Grafana, and OpenTelemetry to streamline diagnostics, leading to a 40% decrease in time-to-resolution for system incidents.
• Enforced enterprise-grade security standards by implementing OAuth 2.0 and fine-grained RBAC, ensuring full compliance with internal audit and risk protocols.
• Optimized Kafka consumer throughput and JVM performance configurations, boosting message processing efficiency by 20% under peak load conditions.
• Collaborated with DevOps, SRE, and product teams in a Scrum-based environment, deploying updates bi-weekly via GitHub Actions and containerized CI/CD pipelines.
Software Engineer (Intern) July 2024 – December 2024
• Developed RESTful microservices with Spring Boot and Kafka to streamline the credit card dispute lifecycle, enabling real-time updates across distributed systems.
• Redesigned the internal operations dashboard using React, TypeScript, and Redux, improving analyst productivity and reducing workflow friction by 37%.
• Integrated secure document handling with AWS S3 and PDFKit, applying OAuth 2.0 and RBAC to ensure compliance with internal security protocols.
• Optimized batch processing for large-scale dispute reconciliations via Spring Batch, cutting execution time in half and improving data accuracy.
• Prototyped an AI-powered Dispute Assistant using OpenAI APIs and LangChain, which reduced manual case resolution time by 24% during pilot phase.
Infosys BPM August 2019 – December 2022
Software Engineer
• Developed and maintained a full-stack Procurement Optimization Platform using React.js, Node.js, improving vendor management workflows for enterprise clients.
• Refactored monolithic procurement systems into modular microservices, boosting system scalability and simplifying feature releases across distributed teams.
• Built secure and scalable RESTful APIs with Express.js supporting real-time procurement approvals, document management, and audit logging.
• Integrated with PostgreSQL databases, and improved query performance by 28% through optimized indexing and caching strategies.
• Containerized backend services using Docker, deployed on AWS EC2, and used S3 for secure document storage and long-term archiving.
• Implemented authentication and access control using JWT and RBAC across user modules, ensuring secure multi-tenant access and compliance with internal policies.
• Employed Agile practices using JIRA, collaborating with cross-functional teams for sprint planning, code reviews, and retrospectives.
• Adopted Test-Driven Development (TDD) using Jest, reducing post-deployment UI/UX bugs by 35%.
• Smart Supplier Scoring System Developed an AI-powered scoring engine using Python and scikit-learn to evaluate suppliers based on delivery, quality, and compliance KPIs, cutting manual evaluation time by 60%. PROJECTS
ChatIQ – Serverless AI-Powered Customer Support Bot Technologies: TypeScript, AWS Lambda, DynamoDB, OpenAI API, WebSockets, Serverless Framework
• Built a real-time AI chatbot using OpenAI’s GPT API, integrated via WebSockets for instant user feedback and live conversations.
• Designed the backend using a serverless architecture with AWS Lambda and DynamoDB, enabling cost-efficient horizontal scalability.
• Implemented dynamic prompt chaining and fallback responses for higher contextual accuracy in multi-turn conversations. QuickTrack – Lightweight Mobile Expense Tracker
Technologies: Vue 3, Vite, Capacitor, IndexedDB, Tailwind CSS, Chart.js
• Developed a progressive web app (PWA) for expense tracking with offline-first support using IndexedDB and client-side caching.
• Designed an intuitive mobile-first interface using Tailwind CSS and Vue Composition API, optimized for low-latency devices.
• Integrated Chart.js for interactive visual summaries of spending habits, supporting filters by category, date, and tags. EDUCATION
• Master’s in Computer Science January 2023 – December 2024 California State University CGPA: 3.8
• Bachelor’s in Computer Science August 2017 – May 2021 Visvesvaraya Technological University CGPA: 8.9