Siva Chaganti

About Siva Chaganti

14+ years of experience in building and leading large-scale distributed systems, enterprise applications, and customer-facing platforms across Healthcare, Retail, Insurance, Financial Services, and Agriculture domains- Proven expertise across the entire SDLC — requirements gathering, analysis, design, development, testing, deployment, and maintenance — with a strong record of delivering secure, compliant, and scalable solutions- Technical leadership in GenAI, Agentic AI: Architected and led a multi-agent conversational CX AI platforms supporting Chat, Voice, SMS, and Web notifications- Provided technical leadership in architecting and deploying scalable voice solutions, specifically developing voice assistants that interact with customers via robust SIP trunking and VoIP protocols- Designed the Customer Assistant Orchestrator Agent coordinating specialized agents (Pharmacist, Biller, Fulfillment, Merchant) via a custom Agent-to-Agent (A2A) protocol. these are helped to reduce customer contacts by 20% so far- Improved Token optimization techniques and LLM routing that optimizes LLM performance and cost savings- Integrated AWS Lex + Polly (ASR/TTS) and Bedrock LLMs with custom memory contexts, enabling multi-turn, context-aware dialogues with long-term and session-based memory retrieval- Designed and launched scalable distributed Amazon Pharmacy platforms: secure checkout flows, prescription verification, auto-refills, subscriptions, dependents support, and order workflows serving 1M+ customers- Created charters, roadmaps, and 3YAP (Three-Year Action Plans) for the Pharmacy Checkout team, defining vision, long-term strategy, and execution milestones for product evolution- Spearheaded cross-functional programs within pharmacy that delivered 20% order growth and 10% YoY revenue increase, while ensuring regulatory compliance and operational excellence- Designed and delivered scalable distributed Insurance accounting payment systems reconciling millions of monthly financial transactions, reducing books-closing time- Skilled in AWS (Lambda, ECS, EC2, DynamoDB, S3, EventBridge), microservices, GraphQL, Java, Python, TypeScript, SQL/NoSQL databases, and ETL scripting- Hands on with GenAI Apps using AWS Bedrock, evaluating LLM performance, prompt engineering, and applying custom evaluation frameworks for production readiness- Strong collaborator in cross-functional strategy: partner with product managers, business leaders, and stakeholders to drive platform growth, while mentoring teams to deliver high-impact solutions.

Experience

1. Software Engineer(Lead)

   Amazon

   Sep 2017 — Present

Education

• Jawaharlal Nehru Technological University

  Bachelor of Technology - BTech, Computer Science

  2007 — 2011