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LashawnFofung/README.md

Lashawn Fofung

Bridging complex AI engineering and real-world execution to build high-impact enterprise products.

Great technology should feel effortless. I focus on the seams where models meet products and infrastructure meets execution, building multi-agent AI architectures, retrieval-augmented generation (RAG) pipelines, and intelligent document processing workflows that make powerful AI capabilities practical and impactful.

Focus Areas: AI Product Management · Multi-Agent Orchestration · RAG Architectures & Vector Search · Intelligent Document Processing · AI Infrastructure & Workflows · Enterprise Tech Delivery

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  1. AI-Portfolio AI-Portfolio Public

    Bridging technical execution (Python, RAG, LLMs) with product strategy. Features end-to-end solutions, GTM logic, and full-stack AI development.

  2. AI-Powered-Document-Automation-Platform AI-Powered-Document-Automation-Platform Public

    🤖 AI-Powered Document Automation Platform (MVP): A production-grade RAG & Document Governance system built to automate high-volume document workflows (Legal, Finance, HR). Features intelligent boun…

    Jupyter Notebook

  3. MBA-IT-Management-Portfolio MBA-IT-Management-Portfolio Public

    MBA in IT Management Portfolio: Showcasing strategic leadership and data-driven solutions for complex IT projects and product delivery. As a PMP, CSM, CSPO-certified Agile leader , I leverage data …

  4. Wayfair-Agentic-BI Wayfair-Agentic-BI Public

    An AI Agent Engineering project developed for the Wayfair Business Intelligence Externship. This repository features a suite of automated agents built with n8n and Gemini to perform market trend an…

  5. Data-Analysis-Portfolio Data-Analysis-Portfolio Public

    This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics, Project Management, and technology related projects.

  6. RAG-Pipelines RAG-Pipelines Public

    This repository provides a comprehensive, hands-on guide to building a Retrieval-Augmented Generation (RAG) pipeline. RAG is a critical architecture for grounding Large Language Models (LLMs) with …

    Jupyter Notebook 2