Summary
Salavala Rahul Raju Full Stack Developer
*****.********@***********.*** 816-***-**** USA LinkedIn Full Stack Developer with 3+ years of experience delivering scalable, production-ready applications using a modern tech stack across React.js, Node.js, Java, and Python. Proven ability to build real-time, cloud-native systems used by thousands of users in trading and e-commerce domains. Delivered a high-frequency trading platform that reduced trade execution latency by over 40%, integrating event-driven microservices with real-time analytics. Skilled in building secure APIs, optimizing databases, and using AI- powered automation tools for efficient delivery. Thrive in Agile teams collaborating with product, DevOps, and data science teams. Technical Skills
Frontend: React.js (Next.js), Redux, Tailwind CSS, TypeScript, JavaScript, SSR, WebSockets Backend: Node.js, Express.js, Java, Spring Boot, Hibernate, Python (Flask, FastAPI), REST, GraphQL, Microservices, OAuth2, JWT, Keycloak
Databases: PostgreSQL, MongoDB, Redis, MySQL, Query Optimization, Indexing, Partitioning, Caching Cloud & DevOps: AWS (Lambda, Fargate, Kinesis, S3), Azure (AKS, Blob Storage), Docker, Kubernetes, Terraform CI/CD & Automation: GitHub Actions, Azure DevOps, Jenkins, Prometheus, ELK Stack, LangChain, OpenAI API, Hugging Face Transformers
AI & Automation Tools: CrewAI, LangChain, Azure AI Search, Amazon Textract, LLM-integrated reporting, Python scripting for automation
Agile & Collaboration: Agile (Scrum), Jira, Cross-functional Collaboration, Requirements Analysis Professional Experience
Full Stack Developer, Jefferies Group 02/2024 – Present Remote, USA
Developed a high-performance trading frontend using React.js (Next.js), TypeScript, and WebSockets, enabling real-time price updates, responsive execution, and SSR for SEO—increasing user engagement by 35%.
Designed a distributed backend using Node.js, GraphQL, and Kafka, integrated with FIX Protocol, enabling institutional trading with under 100ms latency and processing 2M+ events daily.
Architected real-time HFT components using RabbitMQ, Redis, and optimized PostgreSQL indexing, ensuring 99.99% system uptime and sub-100ms response under peak load.
Deployed infrastructure using AWS Fargate, Lambda, Kinesis, and Terraform, leveraging Docker and Kubernetes for containerization and scalability, achieving a 60% boost in system elasticity.
Built intelligent monitoring and anomaly detection with Prometheus, ELK Stack, OpenAI APIs, LangChain, and Python, reducing incident response time by 45% in production systems.
Full Stack Developer, Wipro 07/2021 – 07/2023 Hyderabad, India
Spearheaded frontend development of a multi-tenant e-commerce platform using React.js (Next.js), Redux, Tailwind CSS, and SSR, resulting in a 50% faster initial load time and supporting 25,000+ daily active users across multiple storefronts.
Built scalable backend APIs using Java (Spring Boot) and Hibernate, managing 15,000+ concurrent product listings, while ensuring seamless REST and GraphQL communication and optimizing MongoDB and PostgreSQL queries.
Enforced enterprise-grade security with Keycloak, OAuth2, and JWT, implementing role-based access control and SSO that reduced unauthorized access incidents by 95% across all tenants.
Deployed microservices and content delivery systems using Azure AKS, Blob Storage, and Azure CDN, achieving 99.99% application uptime and smooth multimedia handling.
Automated reporting workflows using Python (FastAPI) and Hugging Face Transformers, reducing manual classification time by over 15 hours per week and increasing reporting accuracy through LLM integration. Associate Full Stack Developer, Wipro 01/2021 – 07/2021 Hyderabad, India
Developed responsive customer onboarding interfaces using React.js, Tailwind CSS, and JavaScript, improving form load speed by 30% and ensuring cross-browser compatibility across major platforms.
Built backend microservices with Node.js and Python, integrating secure REST APIs for payment processing and user authentication, with MySQL for reliable transactional data handling.
Designed CI/CD pipelines using Docker and Azure DevOps, enabling automated testing and smooth deployment across QA and staging environments; collaborated in Agile sprints via Jira for sprint planning, testing, and release cycles. Projects
E-Commerce Cloud Platform with LLM Automation
Tech Stack: React.js, Node.js, MongoDB, AWS Lambda, OpenAI API, LangChain, Redis
Developed an AI-powered e-commerce admin dashboard using LLMs to summarize sales, inventory, and reviews, with LangChain-powered email automation and FAQs; deployed on AWS Lambda with Redis caching for fast data access. Secure Portfolio Management App
Tech Stack: Spring Boot, React.js, PostgreSQL, Azure, Keycloak
Built a financial dashboard for managing investment portfolios with live stock data and AI insights, secured via Keycloak and Spring Security, and deployed using Azure DevOps with Cypress-based end-to-end testing. Education
Master of Science, University of Central Missouri 08/2023 – 12/2024 Warrensburg, MO, USA Computer Science
Bachelor of Engineering, Presidency University 08/2018 – 06/2022 Bengaluru, India Electronics and Communication