Max Ritter

Senior freelance software engineer and technical advisor specializing in AI, cloud, data, and DevOps. Builds text and voice agents with LLMs, RAG, and MCP, and helps teams adopt coding agents.

Serving as AI technical advisor to Dialpad's Telephony Engineering division while building AI products hands-on. Developing MCP-based tooling for AI text and voice agents, including agent authoring, integrations, and evaluation.

Architected and implemented a data integration and intelligent document search platform for Germany's fiber optic expansion program. Built ETL pipelines and an AI-powered search engine using AWS Bedrock.

Architected and implemented an AI agent platform using RAG to enhance clinical data insights. Established CI/CD pipelines for LLM applications and implemented observability solutions to increase agent reliability.

Optimized the company's Data Lakehouse architecture built on Airflow, Spark, and Dremio, improving query performance and reducing costs. Transformed infrastructure management with Terraform-based automation and enhanced Kubernetes cluster stability.

Developed an analytics platform for clinical trials that reduced operational decision time and improved trial efficiency. Engineered scalable Python microservices and implemented AWS CDK infrastructure for automated deployments.

Engineered and deployed the company-wide identity and data management platform unifying access across multiple business units. Architected event-driven microservices with Go and revamped data architecture using Databricks and Delta Lake.

Designed and implemented cloud-native infrastructure for connected vehicles with high availability. Built real-time data processing services and developed machine learning pipelines for customer preference prediction.

Architected a full-stack IoT data platform processing environmental metrics from sensors. Implemented real-time analytics using Azure Databricks and developed a low-code annotation interface for data labeling.

Served as a Senior IT Consultant specializing in cloud architecture design and implementation. Delivered strategic DevOps transformations and built IoT platforms for enterprise clients across various sectors.

Co-founded and led technical development of an IoT mobility platform processing real-time time-series data. Architected a serverless AWS backend and implemented machine learning algorithms for vehicle detection.

Led development of an AI-powered authentication system for parking facilities and architected an IoT radar system for real-time parking space detection. Designed cloud connectivity solutions and implemented agile processes as team lead.

Developed a computer vision framework for industrial safety and engineered AI models for human behavior analysis. Optimized deep learning inference for edge devices and created modular architecture for rapid customization.

Grade: 1.3

Master of Science in Computer Engineering with a focus on design and implementation of complex embedded systems. Graduated with a grade of 1.3.

Grade: 1.5

Bachelor of Science in Applied Informatics with a focus on automation engineering and information networks. Graduated with a grade of 1.5.