Successfully executed multiple AI integrations using MS Foundry, Power Apps, and Copilot Studio with MCP Server for secure data communication
Builds and deploys custom Copilot Agents leveraging Azure Cognitive Services and Foundry’s enterprise AI framework
Designs scalable REST APIs and cloud-native architectures for predictive analytics, automation, and anomaly detection
Combines deep expertise in ML model engineering with software development best practices, enabling smooth deployment of AI within existing Microsoft ecosystems
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Overview
- Availability
- Asap; 5 days/week; remote & on-site
- Qualification
- PhD in Radiology & Neuroradiology; M.Sc. in Engineering Physics; B.Eng. in Engineering Physics
- Language Skills
- German (native), English (business fluent)
- Relevant Expertise
- MS Foundry, Copilot Studio, Power Apps, MCP Server, Azure Cognitive Services, Generative AI, LLMs, NLP, Machine Learning, Deep Learning, Python, Flask, FastAPI, Cloud Architecture, MLOps, Docker, Kubernetes, MLflow, AI Automation
Key-Facts
Extract from Previous Activities
Finance Software Company
Senior Machine Learning Engineer
Built predictive models for seasonal revenue forecasting and budget variance detection based on historical financial data
Designed and deployed regression and time-series models in MS Foundry integrated with Power Apps dashboards
Developed a Copilot Studio Agent in Power Apps for interactive forecasting and anomaly analysis
Implemented MCP Server communication between Foundry and Power Apps components for secure AI orchestration
Containerized and deployed all services via Docker and GitLab CI, with MLflow-based model tracking
Finance & Tax Technology Company
AI Software Engineer
Created a Copilot Studio Agent to automate tax form classification and user dialogue workflows
Integrated Power Apps and Azure Functions for real-time data ingestion and serverless data processing
Developed NLP-driven dialogue extensions using LangChain and HuggingFace Transformers
Automated data pipelines via Airflow and stored validated datasets in PostgreSQL
MedTech Company
Senior Machine Learning Engineer
Developed deep learning models predicting hospital occupancy and resource needs
Integrated Azure Cognitive Services for text extraction from clinical reports
Deployed Flask APIs for model access and containerized environments with Docker
Created dashboards in Power BI and monitoring frameworks for performance tracking
MedTech Company
Senior Data Scientist
Designed ETL pipelines for clinical data and predictive models for bed occupancy
Implemented MLOps using MLflow for experiment tracking
Deployed scalable AI systems on AWS and exposed results through GraphQL APIs
Tech: Python, TensorFlow, PyTorch, MLflow, AWS, Docker, Kubernetes, GraphQL
Finance Software Company
Senior Data Engineer
Built an automated document extraction pipeline for WISO tax software using OCR and NLP
Deployed services with Docker/Kubernetes on AWS, integrated with Airflow
Delivered structured financial data through a RESTful API, monitored via CloudWatch
Tech: Python, Django, Flask, AWS, Docker, Kubernetes, Airflow, PostgreSQL, spaCy, Tesseract OCR