Dhruvil Chauhan

Architected AI-assisted backend services using Java 21, Spring Boot, Python, AWS Lambda, Kafka, and Kubernetes to automate financial data validation and intelligent workflow orchestration for tax and accounting platforms serving 1.5M+ customers. Engineered distributed microservices with Spring Boot, REST APIs, PostgreSQL, Redis, Docker, and AWS to modernize payment reconciliation and customer account services, improving API response latency by 42% and increasing platform reliability. Integrated OpenAI APIs, LangChain, and Retrieval-Augmented Generation (RAG) with vector embeddings to build an internal AI developer assistant for engineering docs and coding standards, reducing onboarding time and MTTR. Built cloud-native frontend and backend features using React.js, TypeScript, Java, Node.js, and Express.js to streamline customer tax filing and financial planning workflows, with secure enterprise integrations. Implemented event-driven architectures using Apache Kafka, AWS, Kubernetes, Je

Developed backend services using Java, Spring Boot, REST APIs, PostgreSQL, and AWS to automate invoice validation and billing workflows for 200K+ customer invoices in internal QuickBooks applications. Implemented an initial machine learning solution using Python, Scikit-learn, Pandas, and SQL to identify duplicate financial transactions with over 90% validation accuracy. Built responsive frontend modules using React.js, TypeScript, JavaScript, and REST APIs, enabling product teams to validate and release 12+ customer-facing features. Executed 15+ cloud-native deployments using Docker, Kubernetes, Jenkins, GitHub Actions, and AWS CloudWatch, participating in Agile ceremonies, code reviews, and automated testing.

Developed backend services using Java, Spring Boot, REST APIs, MySQL, and Docker to automate tax document validation and financial data processing workflows, reducing manual processing time by 25%. Implemented responsive frontend features using ReactJS, TypeScript, Redux, and JavaScript, improving navigation and accessibility across tax preparation workflows and increasing successful form completion rates. Enhanced engineering productivity by creating automated unit/integration testing pipelines with JUnit 5, Mockito, Jenkins, GitHub Actions, and AWS CloudWatch to improve deployment quality and reduce production defects.