Muhammed Alp
AI System & Product Lead
Experience
AI System & Product Lead
awRAG.io & LAIERS.ai
Conception, planning, and production deployment of two AI platforms for industrial research and engineering workflows, from use-case identification and requirements analysis through architecture decisions and build-vs-buy trade-offs to go-live
awRAG.io: Identification of the use case (fragmented knowledge base across distributed AI tools), definition of data requirements, architecture decision for a multi-tenant RAG-as-a-service platform with GDPR-compliant EU infrastructure and production-grade retrieval pipeline
LAIERS.ai: Use-case definition (context loss in linear AI workflows), strategic product decisions on UX, cost structure, and multi-LLM orchestration, rollout of a spatial AI conversation platform with proprietary context management system LAICS
LLMOps ownership: Quality assurance, pipeline optimization, security architecture (OAuth 2.0, SOC 2), and performance monitoring of both platforms in live production
Core topics: LLM, RAG, vector databases, LLMOps, AI architecture strategy, cloud infrastructure, data sovereignty
External Industry Expert / Lecturer
Duale Hochschule Baden-Württemberg Karlsruhe
Delivered lectures, exercises, and examinations in thermodynamics and fluid dynamics for undergraduate engineering students
Translated complex technical concepts into accessible learning materials for diverse student backgrounds
Received academic recognition for deep subject matter expertise and knowledge transfer capabilities
Founder & Managing Director
Nuvaya Hendese Technologies GmbH
Founded and led engineering consultancy with full P&L responsibility, specializing in advanced simulation, digital-twin, multi-objective process optimization, and manufacturing solutions for industrial clients
Secured strategic partnership with Yamaha Motors Japan for additive manufacturing technology development for volume manufacturing
Developed and implemented digital-twin pilot project for European HVAC company with focus on energy efficiency and complex thermo-fluid modeling
Developed an ML-based multi-criteria optimization tool in Python for data-driven decision support in asset-intensive industries
Designed on-demand HPC architecture on Microsoft Azure, accepted into FastTrack for Azure program, demonstrating capability to architect production-grade cloud platforms
Engineering Group Leader
Türk Havacılık ve Uzay Sanayi A.Ş.
Led a 9-engineer advanced engineering group specializing in thermo-fluid systems within defense aerospace division during organizational transformation and restructuring
Executed turnaround strategy increasing team capacity utilization from 25%–50% to 100% through strategic portfolio management and operational excellence
Secured integration into high-priority R&D projects via executive stakeholder engagement and strategic positioning of thermo-fluid capabilities
Maintained technical oversight across all engineering activities while coordinating cross-functional collaboration networks
Managed personnel development, resource allocation, technical deliverables, and technology strategy during complex organizational change
Led ML-based multi-criteria optimization initiative for engineering model parameter studies
Project Manager, Innovation & New Systems
Robert Bosch GmbH
Led division-wide international innovation program for tier-1 automotive clients with multi-million euro audited budget and cross-functional team leadership across Germany, Japan, and South Korea
Directed innovation initiatives delivering breakthrough powertrain thermal efficiency technologies from concept through commercialization, achieving measurable CO₂ reduction for hybrid and electric vehicle systems
Managed complex stakeholder ecosystems across engineering, product management, executive leadership, and tier-1 OEM client teams on three continents
Inventor on strategic energy-efficiency patent (DE102020202385A1), creating competitive IP advantage
Led technology transfer from research through production validation with global automotive manufacturers
Implemented CNN-based cancer tissue detection from medical images using Python and OpenCV in a Bosch-wide AI challenge
Development Engineer, New Systems
Robert Bosch GmbH
Researched and developed innovative concepts for automotive powertrain thermal efficiency, feeding Bosch's strategic innovation pipeline
Conducted feasibility studies and technical assessments informing multi-million euro technology investment decisions
Secured executive support for innovation initiatives through data-driven presentations to leadership
Established cross-functional knowledge transfer mechanisms, creating repeatable organizational capabilities in energy systems engineering
Simulation Engineer
Robert Bosch GmbH
On-site engineering support for renewable energy and automotive systems development
Modeled conjugate heat transfer and thermal radiation for thermo-solar collectors and photovoltaic modules
Analyzed internal flow for gasoline high-pressure fuel injectors using CFD
Delivered design recommendations based on numerical investigations
Simulation Engineer
Bertrandt Technikum GmbH
Provided computational engineering and simulation support for automotive and renewable energy applications
Performed automotive thermal management modeling and CFD simulation for powertrain efficiency optimization
Prepared CFD models and mesh generation for complex engineering systems
Conducted renewable energy systems analysis including thermo-solar modules and photovoltaic thermal performance
Research Intern
Rolls-Royce Aero Engines
Supported turbofan bypass system optimization through CFD investigation for pressure loss prediction
Derived analytical surface functions for pressure loss correlations based on CFD results
Conducted analytical calculations comparing pressure loss data from subscale-model tests
Evaluated fluid mechanical data from acoustic noise measurements
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Automotive (9.5 years), Information Technology (4 years), Energy (4 years), Manufacturing (3 years), Aerospace and Defense (1.5 years), and Education (1 year).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Product Development (14.5 years), Research and Development (11 years), Project Management (5 years), Information Technology (4 years), and Quality Assurance (1 year).
Summary
Engineering and AI Project Leader with 14+ years in aerospace, automotive, energy, and manufacturing, specializing in use-case definition and end-to-end deployment of digitalisation initiatives such as digital twins and LLM/RAG-driven AI applications. Patent holder, former Bosch innovation program manager (multi-million-euro budget), and turnaround leader at Turkish Aerospace Industries (9-engineer team). Delivered two production AI platforms (awRAG.io, LAIERS.ai) end-to-end and translated complex industrial challenges into measurable outcomes, grounded in deep domain knowledge of the process constraints, compliance requirements, and stakeholder dynamics that define success in legacy industries.
Skills
Leadership & Transformation:
- Project Management
- Leadership
- Organizational Change
- Innovation Management
- Digital-transformation
- Multi-stakeholder Management
- Budget Management
- Cross-functional Collaboration
- Corporate Strategy
Ai & Digital Transformation:
- Genai Strategy
- Genai Implementation
- Ai Use-case Definition
- Rag Systems Architecture
- Llm
- Llmops
- Vector Databases
- Large Language Models
- Digital-twin Development
- Data Pipelines
- Process Optimization
- Machine Learning
- Genetic Algorithms
- Cloud Architecture
- Multi-objective Optimization
- Cnns
- Opencv
Engineering & Technical Expertise:
- Energy Systems
- Thermal Efficiency Optimization
- Energy Transition Technologies
- Circular Economy & Sustainability
- Renewable Energies
- Thermodynamics
- Combustion Systems
- Powertrain
- Cfd
- Energy Transition
Domain Expertise:
- Automotive
- Aerospace
- Powertrain
- Energy Systems & Transition
- Manufacturing & Process Industries
- Circular Economy & Sustainability
Languages
Education
University of Stuttgart
Dipl.-Ing. Aerospace Engineering, Thermodynamics, Fluid Dynamics · Aerospace Engineering · Stuttgart, Germany
Max-Planck-Gymnasium
Abitur (A-levels) · Germany
Profile
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