GCP Cloud Architect | MLOps & Data Pipelines
- Verfügbarkeit einsehen
- 0 Referenzen
- 85€/Stunde
- 80939 München
- Europa
- ar | ru | en | de
- 07.07.2026
- Contract ready
Kurzvorstellung
Geschäftsdaten
Qualifikationen
Projekt‐ & Berufserfahrung
7/2022 – offen
Tätigkeitsbeschreibung
◦ Architected a self-service internal platform for Ground Truth Collection that automated manual workflows, reducing engineering support time from∼8 hours per session to zero active involvement.
◦ Initiated an ML System Design working group, collaborating with the Head of AI to define and implement the department-wide standard for technical design documentation.
◦ Owned the development of 3D object detection models, improving accuracy by 15% through fine-tuning, while designing scalable ETL pipelines that reduced processing time by 25x.
◦ Selected for a rapid-response task force to deploy Airflow pipelines; partnered with Senior Data Engineers to validate architecture, ensuring robustness against edge cases and alignment with business
logic.
◦ Created production-grade ML repositories introducing CI/CD and automated testing, establishing engineering standards adopted across the ML org.
Python, Pytorch, Scikit-learn, SQL, Tensorflow
3/2022 – 6/2022
Tätigkeitsbeschreibung
• Implemented deep-learning-based MRI reconstruction pipelines, improving image quality for downstream medical analysis.
• Built GitLab CI/CD pipelines for emerging ML services, reducing integration time and deployment friction.
Continuous Integration, Python
6/2021 – 3/2022
Tätigkeitsbeschreibung
• Consulted with SMEs on designing AI architectures tailored to their operational needs.
• Delivered custom AI solutions for Computer Vision, NLP, Time series forecasting, and Generative AI.
Computer Vision, Natural Language Processing, Python
Ausbildung
Amman
Über mich
Many companies hit a wall when trying to scale their data and AI initiatives. Data models get stuck in local notebooks, cloud bills spiral out of control, and infrastructure becomes a tangled mess of manual processes. That is exactly where I step in.
As a Google Certified Professional Cloud Architect with a heavy background in Machine Learning and Data Engineering, I do not just spin up servers. I design, automate, and govern the enterprise grade infrastructure required to run heavy data workloads reliably and securely.
Core Consulting Services:
Cloud Architecture & IaC: Designing secure, event-driven, and highly available cloud environments from scratch using Terraform and Docker.
Data Engineering (ETL/ELT): Untangling messy data sources and building robust pipelines that deliver clean, real-time data to your analytics and AI teams.
MLOps & AI Platform Engineering: Taking AI out of the research lab and into production. I build the CI/CD pipelines, observability tools, and governance frameworks needed to deploy LLMs and ML models safely.
FinOps & Cloud Optimization: Auditing your existing cloud setup to eliminate waste, implement strict budget thresholds, and drastically reduce your monthly infrastructure costs.
Why work with me?
I bring the rigorous engineering standards of high-growth tech companies directly to your project. I focus on decoupled architectures, automation, and clear documentation. Whether you are a startup needing a secure cloud foundation or a scaling enterprise looking to fix cost-inefficient workflows, I deliver systems that accelerate your engineering velocity.
Send me a message with a brief overview of your current technical bottlenecks, and let us discuss how to build a system that scales with you.
Persönliche Daten
- Arabisch (Muttersprache)
- Russisch (Muttersprache)
- Englisch (Fließend)
- Deutsch (Gut)
- Europäische Union
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