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jalexspringer/README.md

Alex Springer

Full Stack Developer - Solutions Architect


About Me

Hello! I'm Alex, a seasoned sales executive and solutions architect transitioning into full stack development with particular interest in data engineering, AI, and systems engineering. With over 10 years of experience in client-facing roles in the tech industry, I've developed a unique understanding of customer needs and technical problem-solving. This experience has been invaluable in my journey into software development, where I blend my skills in Python, JavaScript, C++, and AI to create innovative solutions.

My career in sales and solutions architecture has provided me with a strong foundation for understanding user requirements and translating them into effective technical solutions. I'm now seeking opportunities in full stack development where I can leverage this background, along with my technical skills and passion for AI, to build impactful and user-centric software.


Bridging Business and Technology

  • Wide Technology Skillsets: I work with Python, JS, Docker, Kafka, AWS/GCP/Azure, Airflow, SQL, GraphQL and I'm currently learning C++ to better understand how to get the highest performance for large scale data focussed operations.

  • AI & LLMs Expertise: My projects showcases my ability to integrate AI into practical business solutions. It's an example of how AI can revolutionize data accessibility and understanding in businesses.

  • Insights from Client-Facing Roles: The experience gained from client-facing roles enriches my approach to software development, ensuring that the end products are not only technically sound but also aligned with user needs and business goals.


My Journey to Full Stack Development

  • Leveraging Sales and Architect Experience: My background has instilled a deep understanding of translating business requirements into technical solutions, a skill crucial for any developer.

  • Technical Proficiency: My hands-on experience with modern programming languages and AI technologies equips me to tackle diverse development challenges.


Projects

Original Personal/Work Projects

  • NarrativAI:
    • AI-driven business data analysis.
    • Streamlit, GraphQL, Python, Docker, OpenAI API (GPT-4), Azure
    • Backend Repository - Create demo transcripts, process incoming transcripts for summaries using GPT-4
    • Webapp Repository - Streamlit interface for exploring the historical summaries
  • Forensiq Fraud Reporter:
    • Analytics and reporting generator for ad fraud scoring tools. Creates formatted PDF reports containing scoring results and highlighting potentially low value traffic sources.
    • Python, Forensiq, Docker
  • Affiliate Data Importer:
  • SaaS Pricing Calculator:
    • A resource for internal sales teams to quickly create client proposals and quotes offering full comparisons and analysis.
    • Python, Dash, Pandas, Google Docs API
    • Code Repository
  • Docker Image Update Review:
    • Command line tool to create visualizations and record update histories for docker hub images. Uses anchore navigator for update data.
    • Docker, Anchore, Bash, Python
  • Deepline Project Website:
  • ZoomInfo and Salesforce API Integration:
    • A simple interface for the ZoomInfo Partner API, with an accompanying implementation of simple-salesforce.
  • Custom Deployment Language - impact.com:
    • Tool to take a text file with account configuration declarations and create, adjust, or destroy an Impact account automatically and to keep account settings as expected.
    • Custom DSL (Terraform-like)
    • Python, Docker
  • Ephemeral Work Server Deployment:
    • Configuration/Infrastructure as code
    • I change OSes, machines, and desks a lot. This ensured I always had my tools.
    • Since replaced with Github codespaces and VSCode dev containers

Course Projects


Narrativai - Executive Insights

  • The Challenge: Addressing the limitations of traditional CRMs and BI tools in providing real-time, actionable insights and handling qualitative data.

  • The Solution: Narrativai employs AI, LLMs, and advanced data visualization to transform complex data sets into meaningful narratives, enhancing decision-making and communication.

  • MVP Features:

    • Conversational AI Interface
    • Unified Data Analysis
    • Automated Reporting
    • Cross-Departmental Communication Tools

Certifications

  • System Administration Certification
  • AWS Solutions Architect - Associate

Future Goals

I am eager to contribute to a team where my blend of client insight, technical skills, and AI expertise can be utilized to the fullest. I am looking for full stack development roles where I can continue to grow, innovate, and drive meaningful change.


Contact Me

Pinned Loading

  1. netimpact netimpact Public

    An affiliate network data importer for the Impact Partnership Cloud

    Python 1 1

  2. 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

  3. provision_work_server provision_work_server Public

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

    HCL

  4. deepline deepline Public

    Source for The Deepline Project - a hexo static site hosted on netlify.

    HTML

  5. 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