Hi, I'm Faisal Khalil

Founder of KlarCloud, a technology initiative dedicated to championing digital sovereignty and contributing to a digitally independent, technologically self-sufficient Europe.

• •Ambassador for digital sovereignty in Europe, leading the architecture of advanced Proof of Concepts (PoCs) empowering organizations to build, own, and operate their own highly secure cloud environments
• •Engineered provider-blind infrastructure allowing enterprises to integrate any public/private cloud with zero risk of data exposure
• •Leveraged hardware-isolated Trusted Execution Environments (AMD SEV-SNP / Intel TDX) with silicon-level encryption and remote attestation
• •Guaranteed end-to-end data confidentiality, ensuring memory cannot be analyzed or compromised by host hypervisors or cloud admins
• •Full compliance with European GDPR, Schrems II, and German BSI C5 requirements without complex software policy overhead

Architected and deployed a highly secure, sovereign AI platform for state government featuring a 6-layer architecture.

• •Integrated OpenWebUI as primary chat client featuring advanced RAG for secure vectorization of highly confidential local knowledge bases
• •Configured central API Gateway managing incoming traffic and enforced strict AI Guardrails as a core security principle
• •Engineered LLM Gateway acting as an intelligent routing engine for sovereign and external models
• •Self-hosted massive open-source models (Meta Llama 3, Mistral, Qwen) directly on internal platform cluster to guarantee data privacy
• •Dynamically routed specific queries to external closed-source models (GPT-4o, Claude 3.5) via secure API integrations when permitted
• •Leveraged vLLM technology to achieve high-throughput, low-latency response streaming and Ray clustering to parallelize inference workloads across nodes

Led the design and implementation of a highly secure Confidential AI Architecture for sensitive government workloads in Northern Germany.

• •Architected a hardware-enforced isolation layer utilizing Trusted Execution Environments (TEEs) via AMD SEV-SNP
• •Implemented continuous remote attestation and encrypted memory to guarantee data privacy and integrity at the hardware level
• •Designed and deployed a zero-trust agent orchestration system tailored specifically for complex, multi-agentic workflows operating on classified data
• •Enforced strict security policies and established comprehensive system observability to maintain continuous compliance

Customized and extended the open-source Dify platform as core backend infrastructure for global agentic workflow orchestration.

• •Agentic Canvas & Platform Engineering: Customized Dify to provide a visual canvas for designing complex agentic workflows and orchestrating autonomous agents
• •Confidential On-Premises Deployment: Deployed platform onto an on-prem K8s confidential computing environment with confidential containers securing proprietary R&D data
• •Advanced Knowledge Base & Middleware: Built vectorized knowledge retrieval using Qdrant and PGVector with FastAPI and Node.js middleware for zero-trust access control
• •Programmatic API Workflows: Engineered secure API access for global third-party and enterprise integrations

Designed platform architecture to facilitate app-to-app integrations and intuitive human-level AI interactions for enterprise employees.

• •Zero-Trust Security & Identity: Implemented Keycloak SSO and Active Directory integration with KMS secret vault management
• •Sovereign Model Hosting & Workflows: Deployed and fine-tuned open-source LLMs on-platform for mobility sector data processing
• •Advanced GitOps Infrastructure: Architected deployment infrastructure using GitOps with Flux, ArgoCD, and Helm Charts
• •Confidential RAG Ecosystem: Engineered RAG implementation for confidential proprietary document retrieval

Developed an AI-powered PMI (Product and Manufacturing Information) extraction system to digitalize technical drawings to DIN standards.

• •Built Azure ML pipeline with MLflow achieving 80% symbol detection accuracy for technical drawings
• •Enhanced detection with an EKS-based post-processing step for near-perfect digitalization following DIN standards
• •Managed complete MLOps pipeline, model fine-tuning, and infrastructure security enhancement

Led edge-AI projects for autonomous systems — foundational experience informing distributed AI (Ray clusters) and confidential edge inference.

• •Implemented VSLAM/SLAM pipelines and RTMAP-based sensor fusion for real-time warehouse navigation and low-latency edge AI
• •Containerized computer vision workloads (YOLO, OpenCV) and automated CI/CD via GitLab CI to Kubernetes
• •Managed hardware integration and flight-control principles for autonomous systems

Built AWS cloud migration architecture and data processing pipelines for enterprise clients including Generali.

• •Created complete pipelines for migrating on-prem data to AWS cloud, designing architecture and running microservices
• •AWS architecture development for Generali: Lambda, API Gateway, CloudFormation, VPC, EC2, CloudWatch, Terraform
• •Implemented data privacy and personally identifiable information (PII) reduction using AWS Comprehend
• •Managed DynamoDB, Snowflake, Step Functions, and CI/CD pipelines

Led computer vision and OCR document extraction projects for major automotive client (Daimler AG).

• •Detected and digitized scanned documents for Daimler AG using Tesseract OCR and Computer Vision with 99% accuracy
• •Containerized OCR services and automated delivery via Jenkins to Kubernetes (EKS)

Doctoral research in artificial intelligence, machine learning, and natural language processing.

• •Published 6 research papers in leading journals (Springer, Computational Economics)
• •Researched transformer-based language models for business report generation (2019, pre-ChatGPT)

Taught undergraduate courses in computer science and business analytics, mentored students and supervised research.

• •Taught programming, database systems, and business analytics
• •Supervised undergraduate and graduate research theses