Yash Rana
I’m Yash Rana, a software engineer with 3+ years of experience building and deploying AI-enabled enterprise applications.
About
I’m Yash Rana, a software engineer with 3+ years of experience building and deploying AI-enabled enterprise applications. I work extensively with Java 17, Spring Boot, microservices, REST APIs, and AWS, and I enjoy turning complex data workflows into reliable, secure systems that teams can act on confidently.
My work often involves modern AI application patterns like RAG workflows, vector search, and LLM evaluation, plus practical back-end engineering with Kafka, PostgreSQL, Redis, and OpenSearch. I also build user-facing dashboards in React and TypeScript to help business users understand outcomes and move faster—whether it’s procurement decisions, invoice exception detection, or supplier recommendations.
- 3 years' experience
- Joined October 2026
Industry experience
- Software & Internet
- Financial Services
Work experience
Orchestrated AI approval-routing microservices using Java 17, Spring Boot, Kafka, Redis, and AWS Bedrock, improving procurement decision accuracy by 28% across workflows. Calibrated supplier recommendation logic using Spring AI, LangChain4j, OpenSearch, and PostgreSQL, increasing contract-matched supplier relevance by 25%. Streamlined invoice exception workflows using Spring Batch, Amazon Textract, Bedrock, and REST APIs, reducing manual review effort by 30% during validation. Synthesized supplier risk signals from invoice history, payment changes, and policy checks using DynamoDB, Redis, OAuth, and CloudWatch, improving detection by 27%. Built React/TypeScript dashboards with AI explanation panels to accelerate finance triage speed by 26% and strengthened AI procurement workflows with JWT, AWS IAM, KMS, Secrets Manager, and Testcontainers to improve audit readiness by 24%.
Developed Python- and SQL-based backend workflows for processing and validating 500K+ enterprise records using reusable transformation, validation, and business-rule components. Integrated REST APIs and JSON services, handling authentication, request/response processing, malformed payloads, rate-limit conditions, and integration exceptions. Built 3+ Python automation workflows reducing recurring manual processing by ~15% while improving reliability. Implemented pytest-based unit and integration testing, supporting Docker-based development/testing environments. Supported CI/CD using Git and Azure DevOps and performed investigation of 25+ integration issues via logs, API responses, SQL diagnostics, test results, and root-cause analysis. Conducted UAT and documented expected vs actual behavior while coordinating fixes with development and business teams.
Built backend systems for banking insurance services using Java 8, Spring Boot, and microservices to improve application stability and service reliability. Delivered RESTful APIs for customer, policy, and claims workflows, supporting secure data exchange between internal systems and business platforms. Strengthened authentication and authorization using Spring Security and OAuth2. Verified backend service logic with JUnit and Mockito, improving code quality by 30% and reducing recurring defects. Streamlined CI/CD with Jenkins, Docker, and Kubernetes for consistent builds and containerized deployments. Migrated legacy database modules to PostgreSQL and MongoDB and enabled Kafka-based messaging for real-time event processing across distributed services. Also created responsive UI with React.js, HTML, and CSS in collaboration with Agile teams.
Education
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