Senior IT Freelancer from Germany — Advisor | Architect | Engineer. Specializing in Agentic Engineering, Cloud, DevOps and Data —> maxritter.net
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Assessing your cultural and operational fit
Max Ritter
Data Scientist
June 24, 2026 – Present
pilot-shell-demo
February 20, 2026 – Present
Demo: Full-Stack project built entirely by AI using Pilot Shell — zero manual code edits
View Projectpilot-shell
October 18, 2025 – Present
How real engineers run Claude Code and Codex: spec-driven planning, enforced TDD, persistent memory, and quality enforcement on all levels. Make your agents production-ready.
View Projectaws-bedrock-multi-agent-blueprint
January 13, 2025 – May 2, 2025
Blueprint for running AWS Bedrock Multi-Agent AI collaboration with CDK, Graph DB, Streamlit and LangFuse
View Projectimpfbot
May 24, 2021 – January 2, 2022
Bot to find COVID-19 vaccination appointments in Germany
View Projectdiy-thermocam-website
April 11, 2021 – November 8, 2025
Website for www.diy-thermocam.net
View ProjectCppND-Route-Planning-Project
May 11, 2019 – May 12, 2019
C++ Route Planning Project based on A* search algorithm on OpenStreetMap
View ProjectSDC-Semantic-Segmentation
September 13, 2017 – September 13, 2017
Pixels of a road in images are labeled using a Fully Convolutional Network (FCN)
View ProjectSDC-End-to-end-driving
April 28, 2017 – April 28, 2017
This simulation of a car uses steering angle predictions from a convolutional neural network, this is also called end-to-end learning. It is able to drive fully autonomously on the whole track with only one round of training data. The project was part of the Self-Driving Car Engineer program.
View ProjectSDC-Vehicle-Lane-Detection
April 28, 2017 – April 28, 2017
I am using an ensemble of classic computer vision and modern deep learning techniques, to detect the lane lines and the vehicles on a highway. This project was part of the Udacity SDC Nanodegree.
View Projectdiy-thermocam
January 5, 2017 – December 17, 2025
A do-it-yourself thermal imager, compatible with the FLIR Lepton 2.5, 3.1R and 3.5 sensor with Arduino firmware
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards personal projects, indicating self-motivation and a drive for continuous learning and application. The projects span various domains, from self-driving cars to AI agents and hardware integration, suggesting adaptability and a broad interest in technical challenges. This diversity aligns well with a culture that values innovation and independent exploration. However, the lack of team-based or collaborative project descriptions makes it difficult to assess direct cultural fit in a team-oriented environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-directed individual, capable of tackling complex problems independently. The variety of personal projects suggests strong problem-solving skills and a passion for technology. However, without specific assessment data on communication, teamwork, or stress handling, a definitive operational fit cannot be fully assessed.