Sadwik Gummadavelli
Java Full Stack Developer | Core Java 17 • Spring Boot • React • AWS EC2/Lambda • Jenkins • MongoDB • OpenAI API • Microservices | 4+ YOE
- Role
- Java Full Stack Developer at DoorDash
- Location
- Dayton, OH, US
- LinkedIn followers
- 500 followers
About Sadwik Gummadavelli
Java Full Stack Developer with around 4 years of experience designing, developing, and…
Experience
Java Full Stack Developer
Jan 2025 — Present · US
Developed and maintained robust CI/CD pipelines using Jenkins, Maven, Gradle, and GitHub Actions to enable zero-downtime deployments of Java microservices on AWS EC2 and Lambda, optimizing MySQL and MongoDB performance for high-volume transaction workloads, improving backend reliability by 25%.• Integrated REST APIs for real-time order tracking and delivery operations, leveraging Amazon SageMaker, LangChain, and Hugging Face Transformers to automate document processing, KYC verification, and compliance workflows using fine-tuned LLMs in Python.• Designed scalable full-stack delivery analytics platforms using Core Java (8/11/17), Spring Boot, and React.js, embedding Generative AI APIs (GPT-4, Claude, LlamaIndex) into support tools, reducing customer support resolution times by 15%.• Built advanced Python-based pipelines with LangChain, OpenAI API, and Pinecone for intelligent search, document retrieval, and knowledge base creation from operational, compliance, and transaction datasets.• Engineered secure microservices for order lifecycle management using Spring Boot, Spring Security, and Dagger DI; modernized legacy UI from AngularJS to React with Redux Toolkit, improving responsiveness and maintainability.• Automated unit and integration testing using JUnit and SoapUI, embedding test suites into Jenkins pipelines to increase QA efficiency by 40% in order reconciliation and payment settlement modules.• Managed UAT and production environments on Linux and AWS, implemented real-time monitoring with CloudWatch, and developed Python-based compliance utilities for secure transaction logging and anomaly detection using LLMs.• Architected and deployed Java, Node.js, and Spring Boot microservices for real-time order processing and exception tracking; built React and Angular dashboards for operations, internal audit, and delivery performance visibility.
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