09.10.2026 aktualisiert

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AI Systems Architect | Software & Solution Architecture | Backend, Cloud & LLM Systems

Berlin, Deutschland
Deutschland
Master of Science (M.Sc.) in Mathematics, Technische Universitat Berlin
Berlin, Deutschland
Deutschland
Master of Science (M.Sc.) in Mathematics, Technische Universitat Berlin

Profilanlagen

Manuel_Blinkert_Freelancer_Profile.pdf
Manuel_Blinkert_Freelancer_Profile.docx

Über mich

Software- und AI-Architekt mit rund 8 Jahren Erfahrung in Software Engineering, Backend-, Cloud- und Datensystemen. Fokus auf AI-/LLM-Systeme, Python/FastAPI, APIs und Cloud-Infrastruktur. Projekterfahrung u. a. bei Cassini, Siemens und Berlin Hyp; aktuell Co-Founder und CTO eines AI-Produkts.

Skills

AI AgentsLLMAzure KubernetesAzure DevOpsKünstliche IntelligenzData AnalysisAnwendungsarchitekturApplication Lifecycle ManagementArchitektur-AnalyseBusiness IntelligenceClient-Server-ArchitekturData ArchitectureData ControlSoftware Design PatternsDevOpsEngineering ManagementEngineering UnterstützungExpertensystemeHigh-Level-ArchitekturInformationsarchitekturSystemanalyseIntegriertes Architektur-FrameworkIntelligente SystemePythonWissensbasierte SystemeMachine LearningMicrosoft SolutionsModeling LanguagesOpenShiftSoftware ArchitectureAzure Machine LearningTransformerSoftware DesignSoftware FactorySolution ArchitectureSupport Vector MachineSystemarchitekturSystem DesignSystem-LebenszyklusTransaktionsverarbeitung (Datenverarbeitung)Docker ContainerModellierungsfähigkeitenModel Driven ArchitectureArchitektur-FlussdiagrammDocker for AWSIT-ArchitekturGenerative AIBackendFastAPIBackend-programmierungKubernetesIt-sicherheitslösungenMachine Learning OperationsSoftware CodingTerraformAzure Data AnalyticsDocker
Software & Solution Architecture
Design of software, backend, cloud and data-intensive systems. Experience with system architecture, service boundaries, API design, technical requirements, architecture decisions and translating business requirements into implementable solutions.

AI & LLM Systems
Architecture and engineering of production-oriented AI systems, including LLM orchestration, agentic workflows, retrieval, structured memory, evaluation, observability, reliability, cost and latency. Experience building and operating an AI product as Co-Founder and CTO.

Backend & Data Engineering
Strong Python background with FastAPI, asynchronous backend services, PostgreSQL/Supabase, SQL and automated data pipelines. Additional experience with Databricks/Spark, SAP HANA, data modelling and analytics systems.

Cloud, DevOps & Production Systems
Hands-on experience with Azure, Docker, Kubernetes, OpenShift, Terraform and CI/CD. Experience designing and operating cloud systems as well as working in security-sensitive enterprise and German federal environments.

Erfahrung

Berufserfahrung5 - 10 Jahre
Freelancer seit2026

Sprachen

DeutschMutterspracheEnglischverhandlungssicherRussischGrundkenntnisse

Projekthistorie

Co-Founder & CTO | AI Systems Architecture

Stealth Startup

Internet und Informationstechnologie

< 10 Mitarbeiter

Building an AI product from the ground up with responsibility for the technical architecture and engineering. Design and implementation of Python/FastAPI backend services, LLM orchestration and agentic workflows, structured memory and personalized user state, PostgreSQL/Supabase data architecture, APIs, cloud infrastructure, security, observability and production reliability. Technical ownership from architecture decisions through implementation and operations.

Software Architect | Security & Delivery Pipeline

Cassini Consulting AG – Federal IT Provider

Öffentlicher Dienst

1000-5000 Mitarbeiter

Architecture consulting for the security stream of a software delivery pipeline used to bring applications into a German federal IT environment. Responsible for identifying and specifying security requirements, aligning the security stream with federal security standards, and coordinating architecture decisions with the architects of the other project streams. Worked in a security-sensitive public-sector environment with strong governance and integration requirements.

Consultant Data & AI

Cassini Consulting AG

Internet und Informationstechnologie

250-500 Mitarbeiter

Consultant in the data analytics and AI domain, delivering client projects across software engineering, system architecture, and rollout management. Projects included security stream of a software delivery pipeline for a federal IT provider, DevOps and testing for an OpenShift platform, Angular frontend in a data science project, sub-project lead on a nationwide hardware refresh (~25,000 systems at 2,000 sites), data engineering and LLM integration for a supply chain compliance tool, and sandbox infrastructure for AI use cases (Docker, Kubernetes, Neo4j, Azure OpenAI, Azure Document Intelligence). Technologies: Azure, OpenShift, Docker, Kubernetes, Terraform, Python, Angular, Power BI.

DevOps & Platform Engineer | OpenShift

Cassini Consulting AG – German Federal Agency

Öffentlicher Dienst

>10.000 Mitarbeiter

DevOps and testing for an OpenShift-based platform providing standardized working environments for data scientists across German federal agencies. Worked on platform validation and deployment-related tasks and coordinated the OpenShift setup with the infrastructure provider's architects. Experience in containerized, security-sensitive public-sector infrastructure and cross-team technical coordination.

Data Engineer | LLM Integration

Cassini Consulting AG – Nippon Express

Transport und Logistik

>10.000 Mitarbeiter

Data engineering and LLM integration for a supply-chain compliance application in the German Supply Chain Due Diligence Act (LkSG) context. Worked on data processing and the integration of LLM capabilities into the application workflow, connecting structured data handling with AI-assisted processing.

Technical Subproject Lead | Data Analytics

Cassini Consulting AG – Deutsche Post DHL

Transport und Logistik

>10.000 Mitarbeiter

Technical subproject lead for a nationwide hardware refresh covering approximately 25,000 Windows systems across 2,000 locations. Coordinated IT and rollout providers, analyzed rollout requirements and supported wave planning. Developed predictive forecasting for hardware orders based on live order data and delivered weekly Power BI reporting for project steering. Own contribution: approximately 190 project days. End-user satisfaction reached 9/10.

Data Scientist | Sensor Fusion & Python

EMPIT GmbH

Industrie und Maschinenbau

10-50 Mitarbeiter

Designed and implemented a sensor-fusion algorithm to improve the positioning accuracy of a measurement system. Combined GPS, 3D-camera and IMU data using linear and extended Kalman filters, including sensor-quality weighting and pose/orientation estimation for rigid-body systems. Integrated the algorithm into the existing software and DevOps lifecycle. Result: substantially improved positioning quality in difficult environments such as forests and bridges. Approximately 145 project days.

Cloud Architect & Data Engineer

Siemens AG

Industrie und Maschinenbau

>10.000 Mitarbeiter

Architecture and implementation of an end-to-end cloud data analytics platform in Azure. Led the architectural workstream, defined the target architecture, selected software components and translated business requirements into technical designs. Implemented automated data pipelines using Python, Databricks/Spark and Azure Functions, designed the data warehouse model and supported API-based access and Power BI reporting. Result: automated near-real-time reporting including outlier detection. Own contribution: approximately 195 project days.

Data Engineer | SAP HANA

Berlin Hyp AG

Banken und Finanzdienstleistungen

500-1000 Mitarbeiter

Data engineering for the introduction and customization of SAP HANA FSDP in a banking environment. Designed data structures in the central data warehouse, implemented automated ETL processes from legacy systems, developed analytical Calculation Views for business users and implemented delta-processing mechanisms using change-log tables. Additional work included database optimization and support for the migration of legacy data into the new HANA architecture. Approximately 100 project days.

Software Engineer | SAP ABAP

PROMOS consult GmbH

Internet und Informationstechnologie

50-250 Mitarbeiter

Software development and customization of business processes in SAP environments using ABAP and ABAP Objects. Implemented customer-specific reports and extensions in SAP R/3 and S/4HANA and integrated additional data sources into standard SAP workflows. Own contribution: approximately 90 project days.

Zertifikate

Microsoft Azure AZ-900

Microsoft

2024

Basic Proficiency in KNIME Analytics Platform

KNIME

2024

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