Siva Paleti

Software Engineer with 5+ years of experience building scalable backend and full-stack applications using Python, Java, React, REST APIs, microservices, and cloud platforms. Experienced in developing LLM and RAG-based applications, AI agent workflows, API integrations, and high-volume transaction systems, with hands-on expertise in PostgreSQL, Redis, Kafka, Docker, Kubernetes, and AWS. Strong background in designing production-ready services, optimizing API and database performance, implementing automated testing and CI/CD, and supporting reliable applications processing high-volume workloads.

Software Engineer - Stripe - USA

(2023-07)

• Developed Python-based backend services and REST APIs using FastAPI, Django, and PostgreSQL for high-volume payment and commerce workflows, implementing authentication, authorization, input validation, idempotency, error handling, and asynchronous processing.
• Built event-driven payment processing services using Java, Spring Boot, Apache Kafka, and Redis, enabling asynchronous transaction processing, reliable inter-service communication, and improved performance across high-volume payment workflows.
• Integrated LLM-powered capabilities into backend services using Python, model APIs, prompt orchestration, embeddings, and structured outputs, enabling AI systems to interpret user and transaction context while maintaining controlled API responses and production safeguards.
• Developed RAG pipelines for internal payment and developer knowledge workflows using document ingestion, chunking, embeddings, vector search, metadata filtering, and reranking, improving relevant-context retrieval by approximately 27% and reducing manual information lookup by 30%.
• Implemented AI agent workflows with tool calling and API orchestration, allowing LLM-based agents to interact with backend services, retrieve structured payment information, execute permitted actions, and recover from failed tool calls through retries and validation.
• Contributed to AI-agent integration and evaluation workflows, building automated tests for API correctness, backend behavior, database state, and end-to-end integration scenarios; improved evaluation coverage across 10K+ test cases for production-oriented agent workflows.
• Worked on agentic commerce and programmatic checkout integrations, developing backend APIs and secure payment workflows that allow AI agents to interact with merchants and initiate commerce actions through defined permissions and structured interfaces.
• Deployed and monitored Python backend and AI services on AWS, using EKS, ECS, S3, RDS, ElastiCache, CloudWatch, IAM, and SQS, with Docker and CI/CD pipelines; improved service deployment reliability and reduced average API latency by approximately 24%.
• Worked in Linux/Unix-based environments to support and troubleshoot Python backend services and containerized applications, using Bash commands, shell scripting, process monitoring, log analysis, and system-level debugging to investigate production issues and maintain reliable application performance across AWS and Kubernetes environments.
• Improved production reliability through Redis caching, PostgreSQL query optimization, asynchronous processing, structured logging, metrics, and distributed tracing, supporting 99.9%+ service availability, lower p95 latency, and more predictable performance under peak transaction workloads.

Full Stack Engineer - Goldman Sachs - India

(2020-05 - 2022-07)

• Developed React.js and TypeScript-based web interfaces for enterprise compliance and risk workflows, building reusable components, responsive dashboards, search/filter views, and form validations that supported 8,000+ internal users.
• Implemented backend services using Java, Spring Boot, and REST APIs, developing business logic, validation layers, authentication, and workflow services for compliance applications processing 40K+ daily requests.
• Integrated React applications with RESTful backend services using Axios/Fetch, JSON, and asynchronous API calls, improving data-loading flows and reducing average page response time by 24% across frequently used screens.
• Built and enhanced Spring Boot microservices for compliance and transaction workflows, integrating PostgreSQL, Redis, and Kafka for transactional data, caching, and event-driven processing, supporting 25+ business workflows.
• Developed interactive compliance dashboards using React, TypeScript, Material UI, and data visualization components, enabling users to monitor cases, review risk indicators, track workflow status, and process 15K+ records per day.
• Designed and optimized SQL queries, database operations, and REST endpoints using PostgreSQL, implementing indexing, pagination, joins, and query optimization that reduced backend processing time by approximately 28% for high-volume workflows.
• Implemented role-based frontend access controls and backend security using Spring Security, JWT/OAuth concepts, CORS, CSRF protection, and secure API validation, supporting multiple user roles across internal compliance applications.
• Containerized application services using Docker and supported CI/CD deployments through Jenkins and AWS, with EC2, RDS, S3, CloudWatch, and Nginx for application hosting, monitoring, and environment management, reducing deployment effort by 30%.
• Collaborated across frontend, backend, QA, and business teams to deliver full-stack enhancements, writing JUnit/Mockito and frontend tests, performing API validation through Postman, and contributing to code reviews and production releases with 99.5% application availability.

Master of Science - Computer Science - The University of Texas at Arlington