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jalexspringer/README.md

Alex Springer

Systems Architect & Data Platform Engineer

Building Complex Systems at Scale

I'm a builder who thrives on designing data oriented systems. After leading commercial teams while maintaining hands-on development, I'm now fully focused on systems architecture and platform engineering. My experience spans from designing high-throughput data pipelines to building AI-powered analytics platforms, always with an emphasis on performance and maintainability.

Technical Foundation

Systems & Performance

  • Systems programming
  • High-performance data processing
  • Distributed systems design
  • Event-driven architectures

Data & AI Infrastructure

  • ETL pipeline design
  • BERTopic model deployment
  • LLM system integration
  • Real-time analytics platforms

Core Technologies

  • Python, Zig, Golang
  • Docker, Kafka, Airflow
  • AWS, GCP, Azure
  • SQL, Neo4j, BigQuery

Key Projects

Cross-Network Data Platform

  • Built ETL pipeline processing 20% of global ecommerce transactions
  • Designed data lake architecture for multi-source affiliate data
  • Implemented real-time validation and cost calculation systems
  • Tech: Python, Airflow, S3, Athena, Docker 12

Real-Time Analytics Dashboard

  • Created high-performance product trend analysis system
  • Built with modern async patterns and efficient caching
  • Comprehensive monitoring and health check systems
  • Tech: FastAPI, HTMX, Prometheus, Docker 3

AI Content Generation Platform

  • Developed scalable content generation system
  • Integrated multiple LLM models with custom prompting
  • Built cross-language support and template systems
  • Tech: Python, Claude API, Streamlit 4
  • Live demo:: https://commercecontentgenerator.streamlit.app/

Engineering Focus

Performance & Scale

  • High-throughput data processing systems
  • Memory-efficient implementations in Zig
  • Distributed system design patterns
  • Cache optimization and data structure design

Architecture & Design

  • Event-driven microservices
  • Data pipeline architecture
  • System integration patterns
  • API design and documentation

AI & ML Systems

  • LLM integration architecture
  • BERTopic model deployment
  • Real-time inference systems
  • ML pipeline optimization

Professional Development

  • AWS Certified Solutions Architect
  • Linux Foundation - System Administration Certification

Current Focus

  • High-performance computing with Zig
  • Distributed systems architecture
  • Event-driven system design
  • Large-scale ML deployment patterns

Footnotes

  1. netimpact GitHub Repo ↩

  2. unaffi GitHub Repo ↩

  3. product_trend_ticker GitHub Repo ↩

  4. CommerceContentGenerator GitHub Repo ↩

Pinned Loading

  1. product_trend_ticker product_trend_ticker Public

    A real-time analytics dashboard that tracks and visualizes product category trends across the impact.com network. Built with FastAPI and HTMX for efficient, modern web development practices.

    HTML 1

  2. CommerceContentGenerator CommerceContentGenerator Public

    This project generates branded content articles based on user-specified parameters. It supports various article types, languages, and advertiser products using Anthropic's Claude AI models.

    Python 1

  3. netimpact netimpact Public

    An affiliate network data importer for the Impact Partnership Cloud

    Python 1 1

  4. unaffi unaffi Public

    Forked from wmorin/docker-airflow-1

    ETL for cross network affiliate performance and spend data using S3, Airflow, Docker, and Spark

    Shell

  5. provision_work_server provision_work_server Public

    Creating a clean and secure dev environment on the fly with Terraform and Ansible.

    HCL

  6. fqreport fqreport Public

    Analytics and reporting generator for ad fraud scoring tools. Creates formatted PDF reports containing scoring results and highlighting potentially low value traffic sources.

    Jupyter Notebook