Forward Deployed EngineerDallas-Fort Worth Metroplex, TX

KhalidElhousieny.

AI automationIntegrationsForward deployed

I deliver customer-facing automation end to end, from scoping through launch: Python and workflow pipelines, API integrations and Claude-powered tools that keep running in production.

Selected work

(05)
  1. 01CalasanicsA calorie tracker you talk to. Describe a meal; get a per-ingredient nutrition card.iOS app
    What I built
    • Turns a spoken or typed meal into a per-ingredient nutrition card computed from a real food database.
    • Expo
    • React Native
  2. 02AI Second BrainAn Obsidian vault that fills itself, with a Claude-powered desktop assistant on top.AI / Knowledge
    What I built
    • Automated pipelines sync notes and OCR-extract PDF, DOCX and XLSX documents into a searchable vault.
    • A custom desktop assistant queries the vault with Claude and reaches into Microsoft 365.
    • Obsidian
    • Electron
    • JavaScript
    • Claude API
    • Microsoft 365
  3. 03Setup MapA self-redrawing map of every service and scheduled job on a home server.Infrastructure
    What I built
    • One frame per setup, with each box colored by live launchd, Docker, port and GitHub checks.
    • A nightly redraw calls Claude only for the setups whose sources changed.
    • Sends a Telegram alert when a redraw fails.
    • Excalidraw
    • launchd
    • Docker
    • Claude
  4. 04Private RAGSelf-hosted search and Q&A over personal documents, fully local.AI / Search
    What I built
    • Hybrid search (BM25, embeddings and a reranker) over documents indexed in place, with no cloud calls.
    • A sidecar extractor makes PDF, XLSX and DOCX files searchable.
    • Served to a local chat assistant over MCP, with a nightly re-index that audits for secrets.
    • RAG
    • MCP
    • Ollama
    • launchd
  5. 05Automationsn8n workflows and Telegram alerts that only ping when a human is needed.Automation
    What I built
    • Self-hosted n8n in Docker, with its assistant running on a local model.
    • Telegram alerts say what to do and where, repeat until it is done, then go quiet.
    • n8n
    • Docker
    • Telegram
    • Ollama

Experience

Full résumé
  1. Apr 2026 – Present

    Field AI Engineer / IT & Billing Manager (Contract)

    Carrollton, TX

    • Scoped and delivered an end-to-end AI automation suite for 6+ government contracts: clarified requirements, defined the technical approach, and shipped production Python automation, cutting invoice prep from roughly 3 days to under a day.
    • Automated workflows across the customer stack: ADP payroll exports, Microsoft 365 via REST/Graph APIs, and Claude API pipelines parsing invoice PDFs into validated data, eliminating an estimated 35–40 hours of manual work monthly.
    • Operated and debugged workflows in live production: monitoring, failure alerting, credential rotation, and validation rules catching edge cases before they reached invoices, delivering 4 consecutive on-time billing cycles.
    • Python
    • Claude API
    • Microsoft Graph
    • REST APIs
    • ADP
  2. Aug 2025 – Aug 2026

    Implementation Engineer / Operations Manager

    Drive Dynamics · Grand Prairie, TX

    • Digitized a completely unorganized ~500-SKU warehouse into an inventory app with a structured location system, cutting item retrieval from about 2 minutes to 10 seconds.
    • Built a QR-code labeling system that streamlined picking, and standardized order intake and financial close in QuickBooks, cutting recurring order errors from roughly 10 per month to 2–3.
    • QuickBooks
    • QR labeling
  3. Nov 2023 – Mar 2026

    Program Manager

    Qalam Institute · Dallas, TX

    • Ran live technical production for 6 weekly broadcast and streamed programs, resolving issues in real time; incident analysis and pre-event checks cut AV incidents from several a week to a couple a month.
  4. Sep 2021 – Nov 2022

    Product Manager

    Course Finder · Redmond, WA

    • Launched a consumer web product adopted by 6,000+ students across 15 colleges, setting up recurring user focus groups and interviews to gather continuous feedback on improvements.
    • Paired direct user feedback with BigQuery SQL usage data to prioritize features and iterate post-launch.
    • BigQuery
    • SQL

About

Computer Science graduate who ships automation for real customers, from scoping with no spec to running it in production. On my own time I build the tools I wish I had, and I write up how they work.

Education

Tools

  • TypeScript
  • Python
  • Bash
  • Docker
  • launchd
  • n8n
  • Expo
  • React Native
  • Claude API
  • RAG
Automation
Python (production automation), Workflow automation (n8n, CI/CD), AI & LLM automation (Claude API, MCP)
Integration & data
REST APIs & integrations, SQL & BigQuery, JavaScript (React, Node)
Delivery
Production debugging & monitoring, Customer-facing delivery, B2B ops & ERP (QuickBooks, Excel)

Say hello.

Email is the fastest way to reach me.