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alexspecter/README.md

Hi, I'm Alex 👋

I'm a business graduate building practical technical skills for roles in Business Systems, Application Support, Technical Operations, and SaaS/Product Support.

I use GitHub to document projects that show how I solve operational problems with Python, SQL, troubleshooting, and clear technical documentation.

What I'm working on

  • Python scripts for automation, data cleanup, and workflow support
  • SQL projects for data analysis, reporting, and business problem solving
  • Application support-style troubleshooting notes and case studies
  • Documentation that explains technical processes clearly
  • Small projects that connect business operations with technical systems

Skills and interests

  • Python
  • SQL
  • Git and GitHub
  • Data analysis
  • Technical troubleshooting
  • Process improvement
  • Technical documentation
  • Business systems and operations
  • SaaS and product support

Background

My background includes business education, real estate media production, freelance creative work, client service, hospitality, sales, and quality inspection. That experience taught me how to communicate with clients, solve problems under pressure, document details carefully, and understand how business workflows operate in the real world.

I'm now focused on combining that business and client-facing experience with technical skills to support systems, users, and operational teams.

Career interests

I'm interested in opportunities related to:

  • Application Support
  • Business Systems Support
  • Technical Support
  • Product Support
  • SaaS Support
  • Implementation Support
  • Operations Analyst
  • Business Systems Analyst

Connect with me

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  1. lead_salvage_pipeline lead_salvage_pipeline Public

    Deterministic data-cleaning pipeline for business leads, with a local LLM fallback for messy records. Memory-safe chunking, CSV/DOCX support, and CSV-injection sanitization.

    Python

  2. media-workflow-tools media-workflow-tools Public

    Python CLI tools for organizing footage and scaffolding video project folders — zero dependencies, pure stdlib.

    Python

  3. promptloop promptloop Public

    Safety-first Python wrapper for MLX-LM on Apple Silicon — handles memory management, token streaming, LoRA adapters, and MCP tool calling in a few lines of code.

    Python

  4. Local-LLM-Scripts Local-LLM-Scripts Public

    On-device LLM productivity tools as Raycast commands — Q&A, grammar fixing, and prompt optimization. Runs locally via MLX, no API keys.

    Python