Umar M.-Senior AI Architect & Engineer
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Experience
Senior AI Architect & Engineer
Freelancer / Self-Employed
- Consulting, design and architecture of SaaS platforms with a focus on automation, data analysis and cloud deployment
- Definition of the target architecture and management of the entire development lifecycle from implementation to production operation, including stakeholder alignment
- Design, architecture and implementation of a multi-tenant SaaS platform
- Development of scalable data and machine learning pipelines (Batch & Streaming) for order and business data
- Development of AI models for data analysis (KPI calculations, forecasts) and integration into data pipelines
- AI-supported processing of customer inquiries (delivery status, invoice, cancellation, complaint) to automate customer service
- Development of APIs, microservices and dashboards with Python for data-driven applications
- Cloud deployment on AWS and infrastructure-as-code automation with Terraform; containerization with Docker and Kubernetes
- Development of CI/CD pipelines for automated deployment with GitLab CI and governance of deployment processes
- Implementation of monitoring dashboards with Grafana to monitor services and ML pipelines
- Implementation of security and compliance requirements (GDPR-compliant data handling, logging), including identity and access management and role-based access control
Senior AI Consultant
Public Sector Client (Project through IBM)
- Consulting, design and implementation of intelligent systems for data processing and process automation, with a focus on Natural Language Processing, Machine Learning and scalable software architecture
- Definition of architecture and technical implementation of AI solutions in projects with a public-sector and security-critical focus
- Modernization of existing legacy systems and migration to containerized microservices architectures (Docker/Kubernetes)
- Development and architecture of an NLP system for the automatic classification of news texts using organization-specific categories and automated feature extraction
- Development of a method for prioritizing regression tests using an ML model to optimize test analysis
- Application of semantic analysis methods in IT problem management to speed up incident handling and reduce recurring cases
- Alignment of architecture decisions with interdisciplinary teams and consulting on model validation, explainability and knowledge integration
- Java development of backend components with a focus on maintainability, Clean Code and integration into existing system architectures
- Development of a scalable MLOps reference architecture with automated Model Lifecycle Management (versioning, pipeline orchestration, monitoring)
- Responsibility for the architecture roadmap, CI/CD governance (GitLab, Jenkins) and integration of the MLOps toolchain
- Evaluation of strategies for new AI components in the public sector to maximize the reuse of existing solutions
- Work in large development teams following SCRUM and SAFe
AI Architect & Engineer
German Research Center for Artificial Intelligence (DFKI)
- Research and development in the field of Industry 4.0 for the intelligent analysis of sensor data, error reports and production parameters in cyber-physical manufacturing systems
- Development of forecasting models for process optimization and methods for automated data cleaning in real-time data streams
- Design and research of methods for analyzing sensor data and order parameters to improve the efficiency of manufacturing processes
- Development of predictive analytics models with Apache Flink for streaming and batch processing of machine sensor data
- Analysis of unstructured data (error logs, maintenance and repair reports) using NLP for automated error detection and root cause diagnosis
- Implementation of methods for real-time data cleaning and ensuring data quality in continuous data streams
Software Engineer
IBM Watson Research Center
- Research and development as part of the IBM Watson DeepQA framework (Watson Multilingual Group)
- Design and implementation of a graph-based model for Question Answering based on the IBM DeepQA framework
- Analysis and processing of natural language texts with an NLP pipeline to extract semantic relations
- Validation of the approach in collaboration with an international research team in Dublin
Software Engineer
BetterTec GmbH
- Design and development of web and backend functionalities for a mobility platform, with a focus on booking systems, user management and billing processes
- Development of components for booking and billing systems
- Integration of external services and APIs to include pricing information and booking functions
- Modeling and optimization of relational databases (PostgreSQL) for efficient data management
- Implementation of core business logic for user management, invoicing and payments, including route matching
- Agile development in a Scrum team with short sprints and regular reviews
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Government and Administration, Transportation, and Manufacturing.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Product Development, Information Technology, Business Intelligence, and Research and Development.
Skills
- Hybrid Ai Architectures (On-Prem & Cloud)
- Machine Learning Pipelines
- Mlops
- Ml Lifecycle Management
- Data Engineering (Batch & Streaming)
- Architecture Definition & Stakeholder Alignment
- Infrastructure As Code (Terraform)
- Ci/Cd Governance (Gitlab Ci / Jenkins)
- Security & Compliance (Gdpr / Iam / Rbac)
- Python
- Model Monitoring & Versioning (Mlflow / Kubeflow)
- Explainable Ai
- Natural Language Processing (Nlp / Llm)
- Aws Sagemaker
- Docker & Kubernetes
- Java
- Microservices & Interface Architecture
- Monitoring (Grafana)
- On-Prem Ai Platforms (Open Source Stack)
- Sql & Databases
- Data Warehouse
- Scala
- Llm & Prompt Engineering
- Ruby On Rails
- Scikit-Learn
- Apache Kafka
- Rest Apis
- Test Automation
- Clean Code
- Text Classification
- Ms Power Bi
Languages
Education
Technische Universität Berlin
Master of Science (M.Sc.) · Computer Science · Berlin, Germany
Technische Universität Berlin
Bachelor of Science (B.Sc.) · Computer Science · Berlin, Germany
Statistics
Experience
Global experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Umar is based in Berlin, Germany.
Umar speaks the following languages: German (Native), English (Native).
Umar has at least 14 years of experience. During this time, Umar has worked in at least 4 different roles and for 5 different companies. The average length of individual experience is 3 years and 9 months. Note that Umar may not have shared all experience and actually has more experience.
Based on recent experience, Umar would be well-suited for roles such as: Senior AI Architect & Engineer, Senior AI Consultant, AI Architect & Engineer.
Umar's most recent position is Senior AI Architect & Engineer at Freelancer / Self-Employed.
In recent years, Umar has worked for Freelancer / Self-Employed and Public Sector Client (Project through IBM).
Umar is most experienced in industries like Information Technology, Government and Administration, and Transportation. Umar also has some experience in Manufacturing.
Umar is most experienced in business areas like Product Development, Information Technology, and Business Intelligence. Umar also has some experience in Research and Development.
Umar has recently worked in industries like Information Technology and Government and Administration.
Umar has recently worked in business areas like Information Technology, Product Development, and Business Intelligence.
Umar holds a Master in Computer Science from Technische Universität Berlin and a Bachelor in Computer Science from Technische Universität Berlin.
The availability of Umar needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 6 Nov 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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