Max Ritter - Cloud (AWS) | AI | DevOps

Q: Where is Max based?

Max is based in Fürstenfeldbruck, Germany and can operate in on-site , hybrid , and remote work models.

Q: What languages does Max speak?

Max speaks the following languages: German (Native), English (Advanced) .

Q: How many years of experience does Max have?

Max has at least 8 years of experience. During this time, Max has worked in at least 12 different roles and for 13 different companies . The average length of individual experience is 1 year and 7 months . Note that Max may not have shared all experience and actually has more experience.

Q: What is Max's latest experience?

Max's most recent position is Cloud (AWS) | AI | DevOps | Data at Boehringer Ingelheim .

Q: What companies has Max worked for in recent years?

In recent years, Max has worked for Boehringer Ingelheim , Marc O'Polo , Hubert Burda Media , Self-Employed , and Porsche .

Q: Which industries is Max most experienced in?

Max is most experienced in industries like Information Technology (IT) , Automotive , and Pharmaceutical . Max also has some experience in Media, Entertainment and Publishing , Fashion and Apparel , and Retail .

Q: Which business areas is Max most experienced in?

Max is most experienced in business areas like Information Technology (IT) , Product Development , and Business Intelligence . Max also has some experience in Research and Development (R&D) , Operations , and Project Management .

Q: Which industries has Max worked in recently?

Max has recently worked in industries like Information Technology (IT) , Pharmaceutical , Media, and Entertainment and Publishing .

Q: Which business areas has Max worked in recently?

Max has recently worked in business areas like Information Technology (IT) , Product Development , and Business Intelligence .

Recommended expert

Fürstenfeldbruck, Germany

Experience

Nov 2024 - Present

1 year 4 months

Cloud (AWS) | AI | DevOps | Data

Boehringer Ingelheim

Architected and implemented an enterprise-grade AI Agent Platform leveraging Retrieval Augmented Generation (RAG) architecture to enhance clinical data insights.
Established robust CI/CD pipelines for LLM applications using CDK and Jenkins, significantly reducing deployment times.
Implemented comprehensive observability solutions that increased agent reliability across pharmaceutical environments.
Designed scalable AI workflows with advanced orchestration that optimized context handling for enterprise data sources.
Technologies: AI Agents (LangChain, LangGraph, Bedrock, Smolagents, Streamlit); LLM Operations (Tracing, Testing, Evaluation, LangSmith, LangFuse); Infrastructure-As-Code (AWS CDK, Terraform, Typescript, Jenkins); Vectors, Embeddings, RAG (OpenSearch, pgvector, PDF Extraction)

Jul 2024 - Oct 2024

4 months

Cloud (AWS) | DevOps | Data

Marc O'Polo

Optimized the company's Data Lakehouse architecture built on Airflow, Spark and Dremio, substantially improving query performance and reducing operational costs.
Transformed infrastructure management with Terraform-based automation, minimizing deployment errors.
Enhanced Kubernetes cluster stability through advanced monitoring and autoscaling, decreasing system downtime.
Redesigned ETL pipelines for increased reliability, ensuring consistent completion of mission-critical data flows supporting retail analytics.
Technologies: Kubernetes (AWS EKS, Helm, Grafana, Prometheus, Autoscaling); Infrastructure-As-Code (Terraform, AWS CDK, GitOps, CI/CD); ETL Pipelines (Airflow, EMR, Spark, PySpark, Dremio, Delta Lake); Observability (CloudWatch, Elastic Stack, Grafana, AlertManager)

Apr 2023 - Jun 2024

1 year 3 months

Cloud (AWS) | AI | DevOps | Data

Boehringer Ingelheim

Developed an analytics platform for clinical trials that reduced operational decision time and improved trial efficiency.
Engineered scalable Python microservices that processed complex trial data with high reliability.
Implemented AWS CDK infrastructure that automated deployment tasks and optimized cloud resources.
Created efficient ETL pipelines that transformed raw clinical data into actionable insights.
Trained and deployed specialized LLMs that answered complex clinical queries, supporting critical decision-making processes.
Technologies: Python Backend (FastAPI, Swagger, boto3, OpenSearch, ElasticSearch); Infrastructure-As-Code (AWS CDK, Typescript); ETL Pipelines (AWS Glue, Step Functions, Pandas, PySpark, Airflow); Large-Language-Models (Fine-Tuning, LangChain, Bedrock, LlamaIndex)

Mar 2022 - Mar 2023

1 year 1 month

Cloud (AWS) | Data | DevOps

Hubert Burda Media

Engineered and deployed the company-wide identity and data management platform that unified access across multiple business units and millions of users.
Architected event-driven microservices with Go that processed high-volume transactions with low latency.
Revamped data architecture using Databricks and Delta Lake, improving analytics performance considerably.
Implemented streaming data pipelines that reduced data processing time, enabling near real-time decision making for digital publishing operations.
Technologies: Event-Driven Architecture (Go, Rust, Kafka, SQS, GraphQL); Cloud Infrastructure (EKS, ArgoCD, Lambda, Jenkins, CloudFront); Data Storage (S3, DynamoDB, RDS, ElastiCache, MongoDB, PostgreSQL); ETL & Data Engineering (Databricks, PySpark, Delta Lake, Airflow); Security & Compliance (IAM, Cognito, GDPR, KMS, Secrets Manager)

Aug 2021 - Present

4 years 7 months

Munich, Germany

Senior IT Freelancer

Self-Employed

Deliver enterprise-grade solutions in cloud architecture, AI systems, and data platforms across many industries.
Specialize in designing scalable AWS infrastructures, implementing AI/ML solutions, and establishing modern DevOps practices that accelerate digital transformation.

Aug 2021 - Feb 2022

7 months

Cloud (AWS) | AI | DevOps | Data

Porsche

Designed and implemented cloud-native infrastructure that scaled to support connected vehicles with high availability.
Built real-time data processing services that significantly reduced analytics latency, enabling timely customer insights.
Developed machine learning pipelines that improved customer preference prediction, driving personalized experiences.
Implemented infrastructure-as-code practices that accelerated deployment cycles, supporting rapid innovation for digital services under the SAFe ART framework.
Technologies: AWS Services (Glue, Athena, Step Functions, Lambda, SageMaker); Infrastructure-As-Code (CDK, Terraform, CloudFormation, Python); Microservices (Python, Java Spring Boot, REST, API Gateway); Containerization (Kubernetes, EKS, ECS, Fargate, Docker, ECR); Data Engineering (PySpark, EMR, Glue, Athena)

Mar 2021 - Jul 2021

5 months

Cloud (Azure) | Data | DevOps | IoT

Climeworks

Architected a full-stack IoT data platform that processed environmental metrics from numerous sensors with high reliability.
Implemented real-time analytics of time-series data using Azure Databricks that improved carbon capture optimization processes.
Developed a low-code annotation interface that enhanced data labeling efficiency, accelerating machine learning model development.
Created automated data pipelines that enabled precise measurement of carbon capture performance, supporting the company's climate impact goals.
Technologies: Microsoft Azure (Functions, Data Lake, Event Hub, IoT Hub, Synapse); Data Storage (PostgreSQL, Time-Series, Blob Storage, Data Lake); Data Processing (Databricks, PySpark, Delta Lake, Azure Functions); IoT (Azure IoT Hub, IoT Edge, Device Provisioning Service)

Aug 2020 - Jul 2021

1 year

Munich, Germany

Senior IT Consultant

Netlight GmbH

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 many different sectors.
Balanced technical excellence with business-driven outcomes through a consultative approach.

Aug 2020 - Feb 2021

7 months

Cloud (AWS) | DevOps

Marc O'Polo

Created a blueprint infrastructure-as-code architecture that accelerated the company's cloud migration from on-premise to AWS.
Designed and implemented secure network architecture with multi-account strategy that substantially improved security posture.
Automated serverless deployments with CI/CD pipelines, significantly reducing release cycles.
Established DevOps best practices that enhanced developer productivity and optimized infrastructure costs, supporting the company's digital transformation.
Technologies: AWS Foundation (VPC, Transit Gateway, Direct Connect, VPN, Route53); Security & Compliance (IAM, GuardDuty, Security Hub, CloudTrail); Serverless (Lambda, API Gateway, SQS, SNS, EventBridge, DynamoDB); Infrastructure-As-Code (Terraform, Terragrunt, AWS CDK, YAML, HCL)

Jul 2019 - Jul 2020

1 year 1 month

Cloud (AWS) | Data | AI | DevOps

Wemolo

Co-founded and led technical development of an IoT mobility platform that processed real-time, time-series data from numerous devices with low latency.
Architected a serverless AWS backend that scaled automatically to handle traffic spikes while maintaining cost efficiency.
Implemented machine learning algorithms that improved vehicle detection accuracy, creating competitive advantage in the mobility market.
Designed an edge computing solution that reduced cloud data transfer, enabling real-time analytics in bandwidth-constrained environments.
Technologies: Cloud Architecture (AWS Lambda, API Gateway, ECS, Fargate, SQS); Infrastructure-as-Code (Terraform, AWS CDK, Serverless Framework); Machine Learning (TensorFlow, PyTorch, Computer Vision, TensorRT); Edge Computing (Nvidia Jetson, ARM, C++, OpenCV, Embedded Linux)

Jul 2019 - Jul 2020

1 year 1 month

Munich, Germany

Co-Founder & CTO

Wemolo GmbH

Led all technical aspects from ideation to market.
Architected a serverless AWS platform for IoT device management.
Developed the edge computing stack for ML inference.
Established the technical roadmap, including engineering team building and technology selection.

Mar 2018 - Jun 2019

1 year 4 months

Cloud (AWS) | AI | IoT

ParkHere

Led development of an AI-powered authentication system for parking facilities that increased security while reducing operational costs.
Architected an IoT radar system for real-time parking space detection with high accuracy, surpassing market alternatives.
Designed cloud connectivity solutions that maintained robust uptime even in challenging network environments.
As team lead, implemented agile processes that increased development velocity and improved product quality, directly contributing to new enterprise contracts.
Technologies: Machine Learning (TensorFlow, OpenCV, OpenVINO, ANPR, YOLO); Internet of Things (MQTT, Bluetooth, LoRaWAN, LTE-M, NB-IoT, OTA); Embedded Systems (C/C++, ARM Cortex, RTOS, Embedded Linux); Cloud Backend (AWS, Lambda, IoT Core, DynamoDB, S3)

Mar 2018 - Jun 2019

1 year 4 months

Munich, Germany

Software Engineer & Team Lead

ParkHere GmbH

Led the IoT engineering team while developing innovative smart parking solutions.
Architected cloud-connected sensor networks.
Designed ML-based vehicle detection systems and created robust embedded firmware for harsh outdoor environments.
Improved product reliability and scaled the solution across multiple enterprise deployments.

Sep 2017 - Feb 2018

6 months

Cloud (AWS) | AI | IoT

Bleenco

Developed pioneering computer vision framework for industrial safety that reduced workplace accidents in pilot deployments.
Engineered AI models that detected human emotional states and behaviors with high accuracy in real-world environments.
Optimized deep learning inference for edge devices, achieving smooth performance on low-power hardware.
Created modular architecture that enabled rapid customization for diverse industrial applications, accelerating product market fit and customer adoption.
Technologies: Machine Learning (TensorFlow, Keras, PyTorch, Transfer Learning, CNN, RNN, LSTM); Computer Vision (OpenCV, Pose Estimation, Face Recognition, Emotion Detection); Edge AI (Nvidia Jetson, TensorRT, Coral TPU, Model Optimization, Quantization); Cloud Integration (AWS, Model Training, Data Storage, Monitoring, OTA Updates); Development Tools (Python, C++, CUDA, Git, Docker, PyTest, TensorBoard)

Sep 2017 - Feb 2018

6 months

Munich, Germany

Software Engineer

Bleenco GmbH

Engineered a modular computer vision framework for industrial safety applications.
Developed AI models for human behavior analysis, emotion recognition, and anomaly detection optimized for edge deployment.
Established the foundation for the company's core technology platform, enabling rapid deployment across diverse industrial environments.

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Information Technology (8.5 years), Automotive (3 years), Pharmaceutical (2.5 years), Fashion (1 year), Retail (1 year), and Media and Entertainment (1 year).

Information Technology

Automotive

Pharmaceutical

Fashion

Retail

Media and Entertainment

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (8.5 years), Product Development (8.5 years), Business Intelligence (5 years), Research and Development (3 years), Operations (1.5 years), and Project Management (1.5 years).

Information Technology

Product Development

Business Intelligence

Research and Development

Operations

Project Management

Skills

Cloud (Aws)
Ai (Llms & Agents)
Data & Devops
Multi-account Strategy
Bedrock
Langchain
Etl
Sql
Databases
Data Event-driven
Langgraph
Rag
Embeddings
Pipelines
Data Lakehouse
Microservices
Serverless
Vector Databases
Context (Py)spark
Databricks
Integration & Apis
Optimization
Evaluation
Iceberg
Delta Lake
Security & Governance
Deployment
Prompt
Athena
Glue
Aws Cdk
Mlops & Ai Infrastructure Engineering
Testing
Terraform
Cicd
Kubernetes

Languages

German

Native

English

Advanced

Education

Oct 2015 - Jun 2017

Master of Science, Design and Implementation of Complex Embedded Systems · Computer Engineering · 1.3

Oct 2011 - Jun 2015

Bachelor of Science, Automation Engineering and Information Networks · Applied Informatics · 1.5

Certifications & licenses

AWS Data Analytics - AWS Re/Start

AWS DevOps Engineer

AWS Developer Associate

AWS Solutions Architect

Accredited AWS SysOps Administrator Speciality Instructor Associate

CNCF Kubernetes And Cloud Professional

Hashicorp Terraform Associate Associate

Professional Native Associate

Profile

Created

June 2024

Last Update

August 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Max based?

Max is based in Fürstenfeldbruck, Germany and can operate in on-site, hybrid, and remote work models.

What languages does Max speak?

Max speaks the following languages: German (Native), English (Advanced).

How many years of experience does Max have?

Max has at least 8 years of experience. During this time, Max has worked in at least 12 different roles and for 13 different companies. The average length of individual experience is 1 year and 7 months. Note that Max may not have shared all experience and actually has more experience.

What roles would Max be best suited for?

What is Max's latest experience?

Max's most recent position is Cloud (AWS) | AI | DevOps | Data at Boehringer Ingelheim.

What companies has Max worked for in recent years?

In recent years, Max has worked for Boehringer Ingelheim, Marc O'Polo, Hubert Burda Media, Self-Employed, and Porsche.

Which industries is Max most experienced in?

Max is most experienced in industries like Information Technology (IT), Automotive, and Pharmaceutical. Max also has some experience in Media, Entertainment and Publishing, Fashion and Apparel, and Retail.

Which business areas is Max most experienced in?

Max is most experienced in business areas like Information Technology (IT), Product Development, and Business Intelligence. Max also has some experience in Research and Development (R&D), Operations, and Project Management.

Which industries has Max worked in recently?

Max has recently worked in industries like Information Technology (IT), Pharmaceutical, Media, and Entertainment and Publishing.

Which business areas has Max worked in recently?

Max has recently worked in business areas like Information Technology (IT), Product Development, and Business Intelligence.

What is Max's education?

Max holds a Master in Computer Engineering and a Bachelor in Applied Informatics.

Does Max have any certificates?

Max has 9 certificates. Among them, these include: AWS Data Analytics - AWS Re/Start, AWS DevOps Engineer, and AWS Developer Associate.