Freelancer profile translated to English.
Back to original languageAbout Umar
Senior AI Architect & Engineer | AI Platforms · MLOps · ML Pipelines | Python · Java
- 10+ years of experience in architecture, development, and operation of productive AI and data platforms (on-prem & cloud)
- Specialization: Machine Learning, NLP/LLMs, Data Engineering (Batch & Streaming), MLOps & ML Lifecycle Management
- Focus: Building scalable ML pipelines, automation of data & model processes (CI/CD), integration into microservices & APIs
- Technologies: AWS, Docker, Kubernetes, Terraform, MLflow, Grafana, GitLab CI/CD, Python, Java
- Experience: Public sector, security-critical and regulated IT environments with GDPR, IAM, and RBAC requirements
- Achievements: Modernization of legacy systems, migration to microservices, building multi-tenant SaaS platforms, integration of explainable AI components
German
Native or bilingual
English
Fluent
Can work on-site
Berlin (up to 50km)
Experience
- UA ConsultingSenior Data EngineerApril 2023 - Today (3 years and 4 months)Berlin, GermanyConsulting, conception, and implementation of SaaS platforms with a focus on automation, data analysis, and cloud deployment. Responsible for the entire development cycle from architecture to implementation and operation.Selected activities:
- Development and implementation of multi-tenant SaaS platforms
- Building scalable data pipelines (batch and streaming) for order and business data
- Data analysis with AI and Machine Learning for calculating KPIs and forecasts
- AI-powered processing of customer inquiries (delivery status, invoice, cancellation, complaint)
- Development of APIs, microservices, and dashboards (Python)
- Cloud deployment with AWS, containerization via Docker and Kubernetes
- Building CI/CD pipelines for automating deployments
- Implementation of security and compliance requirements (GDPR, monitoring, logging)
- IBMSenior ConsultantSeptember 2018 - January 2023 (4 years and 4 months)Berlin, GermanyConsulting, conception, and implementation of intelligent systems for data processing and process automation with a focus on Natural Language Processing (NLP), Machine Learning, and scalable software architecture. Responsible for the technical implementation and strategic further development of AI-supported solutions in projects with public and security-critical focus. This also included the modernization of existing legacy systems and migration into microservices architectures.• Collaboration with interdisciplinary teams from software development, business departments, and data science – including consulting on model validation, traceability, and knowledge integration• Java development of backend systems for implementing business requirements in the public sector – focus on maintainability, clean code, and integration of existing system architectures• Modernization of legacy systems and transition into microservices architectures• Work in large development teams according to SCRUM and SAFe
- Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)Software Engineer - ResearcherJune 2016 - June 2018 (2 years)Berlin, Germany• Research and development for the analysis of sensor data and order parameters for efficiency improvement in Industry 4.0 manufacturing processes• Development of prediction models for machine sensor data with Apache Flink and Machine Learning• Analysis of unstructured data (error logs, maintenance and repair reports) using NLP for automated error detection• Research and implementation of methods for data cleaning in real-time data streams (Data Stream Cleaning)
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Education
- Master of Science (M.Sc.), Computer ScienceTechnische Universität Berlin2016Master of Science (M.Sc.)
- Bachelor of Science (B.Sc.), Computer ScienceTechnische Universität Berlin2012Bachelor of Science (B.Sc.)