Stephen Bonifacio

Full-Stack Enterprise AI Agent

Designed and shipped a production-grade, multi-tenant LLM platform that augmented HR support workflows across multiple companies

• Modular, bring-your-own architecture (LLMs, vector DBs, tools, prompts)
• Async FastAPI backend optimized for concurrent RAG + tool execution
• Multi-tenant Next.js app with real-time streaming, branding, and isolation
• Enterprise-grade security: Entra ID SSO, 2FA, JWTs, encrypted PII storage
• Integrated ServiceNow (RAG + tickets) and SAP HCM (employee data access)
• Full observability with Langfuse (latency, tokens, evals, prompt versions)

Python • TypeScript • FastAPI • Next.js • Azure AI Search • Azure CosmosDB • Redis • Langfuse

Microsoft Teams Integration

Extended the core enterprise LLM platform into Microsoft Teams, enabling employees to access the same AI capabilities directly within their primary collaboration tool

• Implemented a Microsoft Teams bot as an additional frontend channel for the existing LLM platform
• Reused shared backend services, RAG pipelines, tools, and security model
• Built the bot using Microsoft Bot Framework and Express.js
• Integrated with Teams messaging APIs for real-time, bidirectional communication
• Implemented adaptive cards for structured, interactive responses in chat
• Deployed and managed via Azure Bot Service alongside the core platform

TypeScript • Express.js • Agent Framework • Azure Bot Service

Observability Platform for Admins

Built an internal observability and control plane enabling non-technical admins to operate, inspect, and improve production LLM systems

• Created document management interface enabling non-technical users to manage RAG knowledge base
• Built document ingestion pipeline for ServiceNow KM articles with automatic chunking and embedding
• Built conversation explorer with message logs, knowledge gap detection, and RAG pipeline inspection for admin oversight
• Implemented usage analytics dashboard tracking token consumption, tool usage, and peak engagement patterns
• Added ticket integration tracking and dark mode support

TypeScript • Next.js • shadcn/ui • Azure AI Search • Azure CosmosDB • Redis

Usage Analytics & Reporting Engine

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Designed an automated analytics and reporting engine providing executives and stakeholders with ongoing visibility into AI platform usage and value

• Built a scheduled reporting system delivering monthly AI usage reports via email
• Aggregated and deduplicated conversation data across all tenants and applications
• Generated insights covering cost trends, usage patterns, knowledge gaps, and top users
• Implemented fault-tolerant pipelines with automated error handling and retries
• Enabled month-over-month trend analysis to guide platform investment decisions

Python • Azure Functions • CosmosDB

DevOps & Infrastructure

Built and operated the CI/CD and cloud infrastructure underpinning all production AI applications

• Designed CI/CD pipelines in Azure DevOps for the backend API, web app, Teams bot, and admin app
• Automated build, test, and deployment workflows across dev, staging, and production
• Deployed services to Azure App Service with environment isolation and secrets management
• Standardized release processes to support frequent, low-risk deployments
• Supported rapid iteration while maintaining enterprise reliability requirements

Azure DevOps • Azure Pipelines • Azure App Service • Git • Bash

Autonomous HR Chatbot

434 ⭐ on GitHub

Autonomous HR agent using tools and RAG. Integrates Pinecone, CSVs, Azure Data Lake, and SAP HCM pipelines. Early exploration of agentic workflows (2023) that informed later enterprise production systems.

Python • LangChain • Pinecone • Streamlit • OpenAI API • Azure OpenAI

Model Context Protocol Demo with SSE

Early MCP adoption with SSE and Streamable HTTP. Remote tool integration patterns for Zapier and Gmail.

Python • MCP • FastMCP • SSE • asyncio

AI Assistant for Microsoft 365

LLM assistant integrated with Microsoft 365 (Outlook, Teams, Calendar) to automate tasks and manage communications.

Python • OpenAI Assistants API • Microsoft Graph • Streamlit

Autonomous Mall Assistant

LLM-powered location assistant with fallback recommendations.

Python • LangChain • GPT-4 • pandas • Streamlit