Hi, I'm Dr.Faisal Khalil
Senior AI/LLM Agentic Platform Architect | DevSecOps Consultant
Bilingual (German/English) AI specialist for the DACH region. Expert in architecting and implementing enterprise-scale agentic workflow platforms where hundreds of autonomous AI agents solve complex business logic. Specializing in self-hosted LLM gateways, open-source models (Llama, Mistral), and building private ChatGPT-like systems using vLLM, RAG, and grid computing—enabling Digital Europe's sovereignty from corporate AI dependencies.
About Me
Agentic AI Platform Architect & Open-Source Advocate
With a PhD in Computer Science from the University of Osnabrück, I specialize in architecting and implementing enterprise-scale agentic AI platforms for the DACH region. Fluent in both German and English, I help organizations design and deploy self-hosted AI solutions that solve complex business logic through autonomous multi-agent workflows.
My expertise lies in building complete technology stacks—from open-source ChatGPT-like chat clients to LLM gateways, enabling companies to host their own AI models (Llama, Mistral) on their own computational resources. Using vLLM, grid computing, and RAG technologies, I create private AI systems trained on company data, eliminating dependence on corporate AI giants.
I'm fully capable of designing platforms where hundreds of AI agents collaborate to solve intricate business problems. Leveraging powerful tools like n8n and Dify, I create agentic flow canvases where users can visually design problems and receive AI-powered solutions—supporting Digital Europe's technological sovereignty.
As a published researcher with 6 papers in leading journals, I've delivered solutions serving 160 countries, including GPU-based secure AI platforms for government agencies and private LLM deployments for automotive enterprises.
Recent Projects
Copilot Project: Open-Source AI Platform
Baden-Württemberg Government
Pioneered a fully open-source, self-hosted AI platform for Baden-Württemberg government establishing digital sovereignty across Europe. Built a complete 6-layer architecture from OpenWebUI frontend to vLLM GPU-accelerated inference, eliminating foreign AI dependencies while maintaining ChatGPT-like experience with complete data control, GDPR compliance, and BSI security standards.
Global Training AI platform [Mercedes-Benz]
Mercedes-Benz Innovation Team
Collaborated with the Mercedes-Benz innovation team to design and implement a private LLM deployment system. Enabled autonomous AI-driven workflows for automotive enterprise operations with complete data privacy and custom model fine-tuning on proprietary datasets.
AI Knowledge Platform for Transdev
German Mobility & Transportation Leader
Deployed enterprise AI platform on StackIT German cloud infrastructure for one of Europe's largest mobility companies. Built ChatGPT-like portal with fine-tuned Gemma and Mistral models for operational knowledge access, enabling thousands of employees across buses and trains to instantly query procedures, safety protocols, and maintenance guidelines—all with complete data sovereignty using Flux GitOps and StackIT SSO.
Agentic AI Platforms
Architecting multi-agent systems where hundreds of AI agents solve complex business logic autonomously.
Self-Hosted LLMs
Building private ChatGPT-like systems with open-source models (Llama, Mistral) using vLLM and grid computing.
DACH Region Specialist
Bilingual (German/English) consultant delivering DevSecOps and AI solutions across Germany, Austria, Switzerland.
Digital Sovereignty
Enabling European organizations to break free from corporate AI dependencies with open-source alternatives.
Technical Expertise
▸AI & Machine Learning
▸Cloud & Infrastructure
▸DevOps & CI/CD
▸Robotics & 3D Processing
▸Programming & Systems
▸Specialized Skills
Education & Certifications
Academic Background
Postgraduate Program in DevOps Engineering
Purdue University
Advanced studies in DevOps practices, cloud infrastructure, and modern deployment strategies.
- ▸Focus on Kubernetes, Docker, and CI/CD pipelines
- ▸Cloud architecture and Infrastructure as Code
- ▸DevSecOps and security best practices
- ▸Microservices and containerization
PhD in Computer Science
University of Osnabrück, Germany
Doctoral research in artificial intelligence, machine learning, and natural language processing.
- ▸Published 6 research papers in leading journals
- ▸Developed transformer-based language models for business report generation
- ▸Research on deep learning for financial forecasting using news analytics
- ▸Supervised by Prof. Gordon Pipa
Master of Business Administration
NUML University, Lahore, Pakistan
Specialized in Corporate Finance with emphasis on financial modeling and forecasting.
- ▸Focus on Corporate Finance and Investment Analysis
- ▸Research on mutual fund performance and managerial attributes
- ▸Published papers on financial markets and terrorism impact
Bachelor of Commerce (Honours) in IT
University of the Punjab, Pakistan
Emphasis on programming fundamentals, e-commerce, and database systems.
- ▸Strong foundation in programming and software development
- ▸Database design and management
- ▸E-commerce systems and web technologies
Professional Certifications
AWS Certified Cloud Practitioner
Amazon Web Services
2024
DevOps Engineering (Postgraduate)
Purdue University
2023-2025
Unix Shell Scripting
Professional Certification
2024
Featured Projects
Enterprise-scale AI/ML solutions and cloud infrastructure projects
Global AI Training Platform for Automotive Enterprise
Built a scalable training and inference platform on self-managed Kubernetes serving 160 countries. Delivered enterprise solution for self-hosting LLMs including private "ChatGPT" with agentic workflows.
GPU-Based Secure AI Platform for German Government
Designed and implemented on-prem AI platform with high-performance GPUs, fully automated with Infrastructure as Code. Established CI/CD chain with Jenkins and Helm-based GitOps under strict BSI compliance.
Transdev Mobility: AI Knowledge Platform
Built enterprise AI platform for German mobility company on StackIT cloud. Deployed fine-tuned Gemma and Mistral models for operational knowledge access. Implemented Flux GitOps and StackIT SSO with complete data sovereignty.
Advanced Business-Report Generation with Transformer LLM
Developed a ChatGPT-like system before ChatGPT existed. Processed 18 billion tokens to automatically generate business reports using transformer-based neural architecture.
Mass Document Processing System for Daimler
Led 1.5-year project processing scanned documents with computer vision and Tesseract OCR. Achieved 99% OCR accuracy and 90% information extraction accuracy from complex scanned images. Containerized OCR services with Kubernetes.
Vehicle Tyre Wall Recognition System with Computer Vision
Automated tyre inspection system for German workshops ensuring legal 1.6mm tread depth compliance. Hybrid 3D depth camera and laser triangulation for sub-millimeter precision. Open-source point cloud processing with Open3D and PCL. Embossed text recognition using image inversion and OpenCV contours. Integrated e-commerce price comparison deployed on k3s edge infrastructure.
Deep Learning for Financial Forecasting with NLP
Comprehensive study using deep learning and NLP for financial forecasting through news-analytics. Parsed thousands of articles into BigQuery and built sentiment index with Pandas and Keras.
Inventory Counting System with Autonomous Drone
Autonomous drone swarm system for real-time warehouse inventory management. SLAM-based mapping with Rtabmap and Nav2, 3D point cloud segmentation with Open3D and DBSCAN, live YOLO object detection, and intelligent counting algorithms. Complete MLOps pipeline with Next.js control panel, Intel RealSense cameras, and RP Lidar for dynamic obstacle avoidance.
Automatic PMI Extraction from Technical Drawings
AI-powered PMI extraction system for digitalizing technical drawings. Azure ML pipeline with MLflow achieving 80% symbol detection accuracy, enhanced with EKS-based post-processing using regex and database matching for near-perfect digitalization. Blue-green deployment on AKS with Helm, vendor SDK integration for seamless CAD workflow.
![[Hobby Project] Crypto Trading with Reinforcement Learning](/_next/image?url=%2Fassets%2Fcrypto-proj-rl.png&w=3840&q=75)
[Hobby Project] Crypto Trading with Reinforcement Learning
Advanced RL-based crypto trading system using Q-learning and reward-based optimization. Single and multi-asset portfolio management with volatility and risk profiling. Next.js frontend with FastAPI backend connected to Alpaca financial trading API for both paper and live trading.
Professional Experience
Building impactful AI/ML solutions and cloud infrastructure for global enterprises
Computer-Vision Expert and Flight-Control Engineer
UR-TechPartner
Leading development of commercial drone projects with computer vision for autonomous inventory detection and management.
- ▸Designed and programmed commercial drone systems with computer vision for inventory detection
- ▸Applied deep learning, ROS1, ROS2, C++, Python for autonomous navigation and object recognition
- ▸Implemented hardware integration and flight-control principles for stable drone operations
- ▸Built CI/CD pipelines and containerized microservices with Docker
- ▸Deployed to Kubernetes clusters using Helm charts for scalable drone fleet management
Consultant – AI, Big Data and AWS Engineer
Saracus Consulting GmbH
Provided expert consulting for enterprise clients on AI/ML solutions, cloud architecture, and data migration strategies.
- ▸Built end-to-end pipelines to migrate on-prem data to AWS, covering architecture and operational services
- ▸Designed AWS architecture for Generali: Lambda, API Gateway, CloudFormation, VPC, networking, EC2
- ▸Implemented security concepts with CloudWatch, Terraform, CI/CD, Snowflake, DynamoDB
- ▸Managed Secrets Manager, Step Functions, Git and Jira for enterprise workflows
- ▸Reduced personally identifiable information in documents using Amazon Comprehend for data privacy
Data Engineer
WildeIT
Led computer vision and OCR projects for major automotive client, processing millions of scanned documents.
- ▸Detected and digitized scanned documents for Daimler AG using Tesseract OCR
- ▸Applied computer-vision techniques for document detection and information extraction
- ▸Achieved 99% accuracy in extracting information from complex scanned images
- ▸Containerized OCR services and automated delivery via Jenkins to Kubernetes (EKS)
- ▸Enabled horizontal scaling with Helm for processing large document volumes
Lecturer
Virtual University of Pakistan
Taught undergraduate courses in computer science and business, mentored students and supervised theses.
- ▸Taught undergraduate courses in programming, databases, and business analytics
- ▸Supervised multiple undergraduate and graduate theses
- ▸Developed course materials and conducted online lectures
- ▸Mentored students on research projects and career development
Research Publications
Published research in leading international journals on AI, machine learning, NLP, and financial modeling.
Transforming GPT into an Enhanced Enterprise Text Writer
Dr.Faisal Khalil and Gordon Pipa
Big Data Analytics • 2022 • Springer
Research on enhancing GPT models for enterprise-level text generation and business applications.
Read PublicationDoes Deep Learning and NLP Outperform Financial Forecasting? A News-Analytics Perspective
Dr.Faisal Khalil and Gordon Pipa
Computational Economics • 2022 • Vol 60, Issue 1, pages 147-171
Comprehensive study on using deep learning and NLP for financial forecasting through news analytics.
Read PublicationImpact of Managerial Attributes on Mutual Fund Performance: Evidence from Pakistan
Dr.Faisal Khalil, Nida Hassan and Muhammad Qamar
European Online Journal of Natural and Social Sciences • 2016 • Vol 5, Issue 2, pages 432-441
Analysis of how managerial characteristics influence mutual fund performance in emerging markets.
Effects of Terrorist Attacks on Stock Market Performance: The Case of Pakistan
Dr.Faisal Khalil and Waqar Akhtar
Asian Journal of Economic Modelling • 2017 • Vol 5, Issue 2, pages 208-222
Study examining the impact of terrorism on financial markets and investor behavior.
Cultural Transmission of Corporate Governance in Mutual Funds: Directors as Vectors
Muhammad A. J. Qamar, Dr.Faisal Khalil and Waqar Akhtar
International Journal of Academic Research in Accounting, Finance and Management Sciences • 2016 • Vol 6, Issue 2, pages 175-183
Research on corporate governance practices and their transmission in mutual fund management.
Sexual Frustration, Religiously Forbidden Acts and Work Efficiency - A Pakistani Perspective
Dr.Faisal Khalil
Contemporary Islam • 2016 • Vol 10, Issue 3, pages 477-487
Sociological study on workplace efficiency factors in cultural context.
6 publications in leading international journals
Get In Touch
Have a project in mind or want to collaborate? Feel free to reach out through any of the channels below!