Danial Dehkordi, PhD

CEO

Munich, Bavaria, Germany9 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in multi-cloud strategies and GCP.
Proven track record in secure cloud architecture.
Strong background in AI deployment and data solutions.

Stackforce AI infers this person is a Cloud Architect specializing in SaaS and advanced data solutions.

Contact

Skills

Core Skills

Cloud ArchitectureInfrastructure As CodeStrategic GuidanceData AnalysisMachine Learning

Other Skills

Google Cloud Platform (GCP)TerraformSecurity frameworksZero TrustAI deployment strategiesCloud migrationPythonHigh-performance computingSQLGoogle BigQueryKubernetesMicrosoft AzureResearchMicrosoft OfficeTeamwork

About

As an experienced Cloud Architect, I am deeply committed to unlocking the full potential of Cloud environments. My role as a trusted advisor extends beyond traditional boundaries, offering expertise across a wide range of cutting-edge technologies, including Cloud infrastructure, security frameworks, and data solutions. With a passion for creating scalable, secure, and compliant Cloud architectures, I work closely with stakeholders—from technical teams to senior leadership—to design and deliver solutions that drive business transformation. My experience spans: - Multi-cloud strategies, with a focus on Google Cloud Platform (GCP) - Infrastructure as Code (IaC) using Terraform and automation tools - Advanced security frameworks like Zero Trust - Enterprise-grade data loss prevention and AI deployment strategies - Hybrid Cloud integrations and large-scale migrations My experience goes beyond specific tools, focusing on building robust and scalable cloud infrastructures. Whether it's advising on architectural best practices, balancing technical and business trade-offs, or guiding clients on their cloud journey, I am committed to helping organizations harness the cloud to drive innovation and operational excellence.

Experience

9 yrs 11 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 mos

Current Experience

Google

Customer Engineer, Application Modernization, FSI

Jan 2026 – Present · 4 mos · Munich, Bavaria, Germany

Rackspace technology

2 roles

Staff Consulting Architect

Aug 2023 – Jan 2026 · 2 yrs 5 mos · Munich, Bavaria, Germany

Designed and built production-ready, GCP-based Bazel build system targeted for hundreds of software developers across multiple teams under strict compliance and security requirements.
Architected and deployed a secure, Cloud-based code development environment for hundreds of software developers, ensuring compliance with strict security protocols.

Google Cloud Platform (GCP)TerraformSecurity frameworksCloud architectureInfrastructure as Code

Consulting Architect

Aug 2022 – Jan 2026 · 3 yrs 5 mos · Munich, Bavaria, Germany

Developed and carried out migration and modernization plan for the customers.
Led proof of concept with sharp focus on customers' technical and business requirements following best practices.
Led customers on Cloud journeys, providing strategic technical guidance in areas such as Zero Trust and secure AI deployments.

Zero TrustAI deployment strategiesCloud migrationCloud architectureStrategic guidance

Asml

Consulting Cloud Architect

Nov 2022 – Jan 2026 · 3 yrs 2 mos · Veldhoven, North Brabant, Netherlands · Hybrid

Planisware

IT Consultant

Jul 2019 – Nov 2021 · 2 yrs 4 mos · Munich Area, Germany

Led implementation of Planisware project management software, ensuring tailored solutions aligned with client needs.
Managed end-to-end project delivery, from requirements gathering to user training, ensuring on-time, on-budget delivery.
Coordinated cross-functional teams to customize software solutions, meeting business requirements efficiently.

Technische universität münchen

PHD Candidate

Jan 2017 – Jul 2021 · 4 yrs 6 mos · Munich Area, Germany

Developed Python-based machine learning (ML) applications for analyzing biomolecular interactions.
Managed high-performance computing (HPC) cluster environments for complex simulations and data analysis.
Automated data workflows for large-scale biological datasets, streamlining analysis processes.

PythonMachine learningHigh-performance computingData analysis