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Saket Panwar
AI Agents & LLM Systems · Ex-Amazon & Microsoft · 10+ Years
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Amazon Subscribe & Save — Perl → Java Migration
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Healthcare AI-Based Decision Support System
Architected a multi-step LLM-powered clinical decision support platform that transforms patient records and medical guidelines into structured diagnostic workflows.
The system combines OCR processing, patient-data ingestion, AI-powered reasoning, and human-in-the-loop validation to improve reliability and consistency of clinical recommendations.
Key contributions included:
• Designing the LLM decision-engine architecture
• Building medical guideline-to-decision-tree workflows
• Developing evaluation and review tooling for quality assurance
• Integrating OCR and patient-data processing pipelines
• Supporting orchestration across multiple AI and healthcare system components
Technologies: Python, LLMs, OCR, Workflow Orchestration, Healthcare AI
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SmartCart RAG : AI Support Assistant on Internal Knowledge Base
Built a production RAG chat app over SmartCartCommerce's internal knowledge base - 86 documents, 856 indexed chunks covering policies, support playbooks, seller operations, and the brand admin console. Implemented three distinct AI personas (Customer, Concierge, Brand Partner) each with tailored retrieval and system prompts. Queries are embedded via OpenAI, semantically searched in Pinecone, and streamed back with source citations. Replaced manual doc-hunting for support teams with instant, grounded answers.
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AgentOS : Multi-Agent AI Orchestration Platform
Built AgentOS, a production-ready multi-agent orchestration platform that enables teams to deploy, monitor, and coordinate AI agents for complex workflows. Designed a modular architecture where specialized agents collaborate - handling tasks like research, code generation, and decision-making in parallel. Implemented real-time agent communication, persistent memory, tool-use pipelines, and a dashboard for observability. The system reduces manual intervention in repetitive workflows by over 80% and scales seamlessly across different LLM providers.
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AWS CloudFront Caching Infrastructure & Global Edge Migration
Led critical caching infrastructure initiatives for AWS CloudFront, Amazon's global Content Delivery Network (CDN), serving customers worldwide.
Designed and delivered a simplified caching configuration API and customer-facing console experience that reduced setup complexity and improved adoption.
Owned control-plane architecture and API contract design for caching behavior, improving backward compatibility while reducing operational support overhead.
Led migration of caching systems to a new Point-of-Presence (PoP) architecture, improving latency, scalability, and operational efficiency across the global edge network.
Worked closely with infrastructure, networking, and service teams to coordinate rollout planning, validation, monitoring, and customer impact assessment.
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