01
Applied AI & Intelligent Systems
RAG systems, LLM applications, agentic workflows, and intelligent automation.
- Retrieval
- Reasoning
- Automation
Applied AI Engineer Germany
Systems. Models. Real-world problems.Engineering Intelligence.Building What Matters.
I design and engineer intelligent systems across machine learning, computer vision, and applied AI—turning complex problems into reliable, practical solutions.
From an idea to an evaluated system.A closer look
01 / Expertise
What I Build
02
Computer Vision & Deep Learning
Object detection, semantic segmentation, anomaly detection, and visual quality inspection.
- Perception
- Segmentation
- Inspection
03
Data Science & ML Engineering
Predictive modelling, experimentation, statistical evaluation, and scalable ML pipelines.
- Experimentation
- Evaluation
- Reliability
02 / Selected Work
Selected Work
Intelligent systems,
engineered with purpose.
RETRIEVAL / EVIDENCE01
Technical question
Dense retrievalSemantic context
BM25 + identifiersLexical precision
Query-aware routing
01Source evidence
02Source evidence
03Source evidence
01Generative AI
Industrial Knowledge Copilot
A production-oriented retrieval-augmented generation system for answering questions across industrial documentation with measurable retrieval quality.
Explore case study : Industrial Knowledge CopilotVISION / ANOMALY INSPECTION02
Reference-based inspection
02Computer Vision / Industrial AI / Anomaly Detection
Industrial Visual Anomaly Detection
Developed and evaluated a reference-based industrial inspection pipeline using DINOv2 to identify visual anomalies in manufactured components. The workflow combines pretrained visual representations, ROI-aware processing, anomaly scoring, and calibration-driven evaluation.
Explore case study : Industrial Visual Anomaly DetectionDEMAND / CHANNEL COMPOSITION03
31,622forecast room nights
365-daybase forecast
- BookingCom
- 18,200
- ChannelManager
- 4,297
- Direct
- 754
- Ibe
- 8,371
June 1, 2024 – May 31, 2025
03Predictive Analytics / Data Science
Forecasting & Decision Intelligence
An evaluation-driven forecasting workflow that transforms reservation transactions into daily room-night demand, compares forecasting strategies through rolling-origin backtesting, and generates channel-level predictions with uncertainty-aware planning scenarios.
Explore case study : Forecasting & Decision IntelligenceMore explorations.
View All Projects04
Agentic AILogIQ — Role-Aware AI Log Intelligence
An AI agent that investigates nearly 5 million infrastructure log records and produces evidence-grounded answers tailored to engineers, team leads, and managers.
Python / Agentic AI / SereneDB05
Computer Vision / Industrial AIIndustrial Defect Detection & Segmentation
An industrial computer vision system for identifying and segmenting manufacturing defects using YOLOv8. The project combines polygon annotation refinement, targeted augmentation, GPU-accelerated training, and class-specific evaluation to investigate segmentation performance and precision-recall trade-offs.
Python / PyTorch / Ultralytics YOLOv806
Computer Vision / Deep Learning / MLOpsVisionSeg
A modular semantic segmentation framework combining DeepLabV3, configurable preprocessing, systematic model evaluation, and deployment-oriented inference design.
PyTorch / DeepLabV3 / ResNet-5003 / How I Approach Engineering
Great models are only
part of great systems.
Start with the right question.
Make the problem explicit before choosing a model. Clarify what a useful outcome looks like and how to evaluate it.
04 / Professional Background
Experience
A foundation in engineering,
across AI, software, and data.
AgilXAI
2025 — PresentData & Model Engineer
Building applied AI systems across LLM workflows, computer vision, model APIs, and large-scale data processing.
Otto von Guericke University Magdeburg
2023 — 2025Research Assistant
Academic research at the intersection of data science, machine learning, and software engineering.
Accenture
2018 — 2019Data Scientist
Worked on analytics, experimentation, funnel optimization, dashboards, and data-driven product improvement.
Accenture
2017 — 2018Associate Software Engineer
Built and improved software and data workflows with an emphasis on reliability, performance, and delivery.
Tata Technologies
2016Data Analyst Intern
Supported exploratory analysis, KPI reporting, and performance-focused data work.
05 / Notes from the Field
Ideas, experiments
& engineering lessons.
06 / Start a Conversation
Have a challenging problem?
Let’s build something
meaningful.
Open to conversations about applied AI, computer vision, machine learning, and engineering opportunities.
Get in Touch