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T-Rzeznik/README.md

About Me

AI Software Engineer building enterprise multi-agent platforms and cloud-native AI infrastructure. My work lives at the intersection of agentic AI, cloud architecture, and safety engineering — translating production-grade research into systems teams actually deploy.

  • Architecting agentic AI platforms on AWS ECS Fargate with verify-then-commit safety controls
  • Designing multi-agent supervisor systems with RBAC-enforced tool execution and immutable audit logging
  • Provisioning cloud infrastructure with Terraform — ECS, RDS, KMS, WAF, S3
  • Building RAG pipelines and AI assistants with LangChain, LangGraph, and Pinecone
  • B.S. Computer Science, SUNY Oneonta · Minor in Math · GPA 3.75 · Magna Cum Laude

Tech Stack

AI & Agents

Languages & Frameworks

Cloud & Infrastructure


Featured Project

Project Management Orchestration

A multi-agent orchestration framework built around a verify-then-commit safety model — agents stage tool calls as atomic, time-limited proposals, humans approve, and only then do writes commit. Structured logging and native MCP server integration.

Stack: Python · LangChain · MCP · Pydantic · JSON Schemas

View Repository


Let's Connect



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  1. Project-Management-Orchestration Project-Management-Orchestration Public

    Multi-agent orchestration framework with verify-then-commit safety, MCP server integration, and NIST 800-53 audit logging

    Python

  2. irs-rag-chatbot irs-rag-chatbot Public

    RAG application for PDF and web content - chat interface with source citation, built with LangChain, ChromaDB, and Streamlit

    Python

  3. AudioSaR AudioSaR Public

    Python audio processing pipeline - generates lo-fi/slowed+reverb remixes with animated waveform visualizations via Streamlit

    Python

  4. Full-stack-crud Full-stack-crud Public

    Full-stack MERN CRUD application - MongoDB, Express, React, Node.js with all HTTP methods

    JavaScript