Our Team

Mühenad Bilal leads MBI AI with the goal of connecting scientific excellence with industrial application. He drives technology transfer from research into marketable products and builds cooperations between industry, universities and research institutions.

Core competencies:

• Leading interdisciplinary teams in research, software development and engineering
• Project management of research and funding projects (ZIM, Forschungszulage)
• Development and commercialisation of innovative AI and inspection systems
• Optical measurement technology, image processing and computer vision
• Deep learning and industrial automation
• AI-supported digitalisation and technology management
• Building business models for digital products and industrial AI solutions

Core competencies:

• FEM simulation & strength calculation for vibration minimisation and micrometre precision
• Computational verification of complex machine elements under dynamic loads
• Optomechanical CAD design for sensitive optical assemblies and sensor mounts
• Design of adjustment fixtures for high-precision optical components
• Analytical design of high-precision motion systems (axes, guides, motors)
• Mechanical components for AI-controlled automation systems
• Prototype construction and manufacturing: functional models, test rigs and turnkey measurement systems

Tangirala Sri Girish has been working with MBI AI for several years on research and development projects in AI and industrial digitalisation. Through his practical experience he contributes significantly to the implementation of modern intelligent inspection and analysis systems.

Core competencies:

• Development of modern AI and computer vision systems
• Classification and detection algorithms
• Automated processes and intelligent evaluation systems
• Synthetic dataset generators and simulation systems for AI applications
• Hardware and software development
• Programming with Python and C++
• Training and validation of neural networks

Daniel Pfaller helps companies make data usable, develop intelligent systems and efficiently solve technical challenges – from the first concept through simulations and prototypes to validation in real-world deployment.

Core competencies:

• Sensor technology, data analysis and image processing
• Machine learning and AI-supported system development
• Numerical simulation of heat transfer and fluid mechanics
• Development of optical measurement systems (fluorescence-based temperature sensors)
• Characterisation and validation of optical assemblies
• Prototype development and system validation

Daniel Górski brings years of experience from leading positions at IBM CIC Switzerland, Mesoneer AG and Deutsche Börse AG. He combines deep technical knowledge with pragmatic implementation skills.

Core competencies:

• DevOps & Cloud: Kubernetes, OpenShift, Docker, Terraform
• CI/CD Pipelines: Jenkins, ArgoCD, automated test suites
• Kafka ecosystem: Kafka Streams, Kafka Connectors, Strimzi Operator
• Microservices & Integration: RabbitMQ, ActiveMQ, Apache Camel
• Monitoring: Prometheus, Grafana, Splunk
• Programming: Java, C/C++, Python, Perl, Bash
• Automated testing: Selenium WebDriver, E2E test suites
• Real-time financial data systems and trading system optimisation

Podishetti Ranadheer has been working with MBI AI for several years on innovative AI and research projects for industrial applications and has extensive experience in developing modern classification systems.

Core competencies:

• AI-based computer vision solutions
• Anomaly detection and intelligent fault recognition
• Modern classification and analysis methods
• Neural networks and deep learning models
• Software solutions for industrial AI applications
• Programming with Python and C++
• Data analysis, model training and AI system optimisation

Stefan Heberle helps companies develop innovative and resource-efficient product solutions from the initial laboratory phase through to industrial implementation. He has experience in sub-project management of publicly funded collaborative projects (ZIM / KMU-innovativ) at the interface between industry and science.

Core competencies:

• Physical chemistry and materials science
• Laser spectroscopy and applied optics
• Laboratory management and control of industrial production processes
• Quality assurance and process optimisation in the building materials sector
• Life cycle assessment (LCA) and resource-efficient product development
• Project and sub-project management in collaborative projects (ZIM & KMU-innovativ)

Dr. Khaleel I. Hassoon helps companies and research institutions realise innovative optoelectronic systems, synthesise complex nanomaterials and efficiently lead interdisciplinary projects to success – from laser-based materials analysis and thin-film fabrication to photodetector prototypes.

Core competencies:

• R&D in renewable energy: design and optimisation of dye-sensitised solar cells and plasmonic nanoparticles
• Development & characterisation of semiconductor devices: design and validation of Schottky diodes, heterojunctions and photodetectors
• Advanced nanomaterial synthesis: thin-film deposition using state-of-the-art methods (PLD, PLAL and electrophoretic deposition)
• Optical measurement technology & laser physics: precise analysis of laser-plasma interactions and nonlinear phenomena
• Interdisciplinary project management: leading teams at the interfaces of physics, optoelectronics and nanotechnology
• Scientific coordination & consulting: technical supervision of funded research projects and bilingual transfer (English/Arabic) of scientific resources

Muhammad Uzair Akmal helps companies and funded research projects implement AI pipelines from data preparation to monitoring in practice. His focus is on intelligent systems for automated image-based quality control in manufacturing and on knowledge-based LLM and RAG workflows.

Core competencies:

• Image-based quality inspection: development of systems for visual inspection, anomaly detection and intelligent fault recognition in production
• Advanced computer vision: image segmentation, object detection, image classification and advanced image processing
• Generative AI & LLM workflows: design and implementation of LLM-based systems, Retrieval-Augmented Generation (RAG) and Agentic AI
• Knowledge representation & reasoning: structured logic and data modelling using ontologies and knowledge graphs
• End-to-end MLOps & deployment: design and automation of complete AI pipelines (Data → Model → Deployment → Monitoring) including cloud integration (AWS & Google Vertex AI)
• Software & data engineering: full-stack competence in Python, ETL pipelines, API and web development, and database architectures

Birgit Seiferth has expertise along the entire value chain – from product development for synthetic leather and tufted floor coverings to strategic market management for innovative sound absorption solutions. She combines technical knowledge with strategic vision and supports MBI AI in turning technological challenges into future-proof competitive advantages.

Core competencies:

• Textile manufacturing: nonwovens, technical textiles and composites
• Production of tufted floor coverings and deep-drawn components for the automotive industry
• Product development of synthetic leather (PVC/PU) for shoe, leather and automotive industries
• Cooperation with quality assurance and research institutes
• Sales engineer for dry, wet and spunbond nonwovens (national & international)
• Market Manager Automotive Europe: market launch of sound absorption solutions
• AI project experience: annotation of datasets for wear detection (ZIM project)