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 AWS CDK, 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:

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:

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:

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:

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 automotive services.

Technologies:

Architected a full-stack IoT data platform that processed environmental metrics from numerous sensors with high reliability. Implemented real-time analytics 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:

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:

Co-founded and led technical development of an IoT mobility platform that processed telemetry 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:

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:

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:

As an independent Senior IT Freelancer, Max delivers enterprise-grade solutions in cloud architecture, AI systems, and data platforms across many industries. He specializes in designing scalable AWS infrastructures, implementing AI/ML solutions, and establishing modern DevOps practices that accelerates digital transformation.

At Netlight, Max served as a Senior IT Consultant specializing in cloud architecture design and implementation. He delivered strategic DevOps transformations and built IoT platforms for enterprise clients across many different sectors. His consultative approach balanced technical excellence with business-driven outcomes.

As Co-Founder and CTO of Wemolo, Max led all technical aspects from ideation to market. He architected a serverless AWS platform for IoT device management, developed the edge computing stack for ML inference, and established the technical roadmap. His leadership spanned engineering team building and technology selection.

At ParkHere, Max led the IoT engineering team while developing innovative smart parking solutions. He architected cloud-connected sensor networks, designed ML-based vehicle detection systems, and created robust embedded firmware for harsh outdoor environments. His technical leadership improved product reliability while scaling the solution across multiple enterprise deployments.

At Bleenco, Max engineered a modular computer vision framework for industrial safety applications. He developed AI models for human behavior analysis, emotion recognition, and anomaly detection optimized for edge deployment. His work established the foundation for the company's core technology platform, enabling rapid deployment across diverse industrial environments.

M. Sc. Computer Engineering

Design and Implementation of Complex Embedded Systems. Grade: 1.3

B. Sc. Applied Informatics

Focus on Automation Engineering and Information Networks. Grade: 1.5

I whole heartedly recommend Max from his role as a backend Software Engineer at Boehringer Ingelheim. Max demonstrated a valuable ability to balance high-level strategic thinking with hands-on implementation. His agile approach consistently resulted in effective, solutions that exactly met our project needs. I recommend Max for roles in software engineering, particularly those involving advanced Cloud and Data technologies.

Max was part of our team from July to October and provided outstanding support in optimizing our Open Source Lakehouse Platform. He has a very good understanding of cloud infrastructure in the data domain and truly impressed us with his technical know-how and his ability to quickly find solutions for complex problems. Thanks to his help, we were able to make important progress in our project and significantly improve our platform. I look forward to working with him again.

Max joined my former team as a software engineer and consultant. Despite the complexity of the existing service landscape, Max familiarized himself with the existing infrastructure very quickly and was a big asset to the team - not only from a technical but also from a personal perspective. What really impressed me was his talent for rapid implementation while keeping code quality and raising the technical bar of the team. I consider him as an expert when it comes to AWS services. I can highly recommend Max to any team that wants to push its product roadmap forward. Thanks Max for your contributions!

Max is an exceptionally skilled backend developer with expertise in cloud development, DevOps, machine learning, and Generative AI. His proficiency in Python, JavaScript, and Bash makes him a versatile asset to our team. His proactive approach, excellent communication skills, and ability to interact well with colleagues are more than commendable. Max's impressive skills were evident from our first meeting during his job interview. Beyond his technical skills, Max's online content on software development practices and self-employment offers valuable insights. Max is truly a unicorn in his field. Thank you, Max, for your exceptional contributions.

Not many people have the ability to go from paper to productive data pipeline code in less than a week and fewer still where they are relative latecomers to a brown-fields project in need of renewal, Max is one of these people. I’ve worked with Max over the past year as he worked with us on our core data infrastructure as a contractor with little supervision. He has been a remarkable and valued team member and resource throughout the entirety of that time, providing astute research, clever solutions to problems both large and small. In terms of skills, whether it’s Kubernetes, AWS or Databricks and Python he has been able to execute efficiently and with great results. I’d be more than happy to work with him again.