Data & AI Platform Architect.

Enterprise Software Vendor

Enterprise Customer Data Analytics & AI Communication Platform

Senior Data Engineer & AI Platform Architect

Led architecture and development of a greenfield Retrieval-Augmented Generation platform from concept through MVP: document ingestion, embedding generation, vector indexing, semantic retrieval, and LLM orchestration across enterprise knowledge sources. Defined the technical architecture, selected models and vector databases, and established prompt engineering and evaluation strategies.

Python · PyTorch · Transformers · vLLM · Hybrid Cloud · NLP · Data Governance

Industrial SMB, Germany

IIoT Monitoring & Anomaly Detection

IoT Monitoring — Design & Prototype

Designed, prototyped, and productionized algorithms for industrial sensor-data analysis, including a model predicting ingestion-pipeline utilization, with cost and performance optimization on AWS.

Python · scikit-learn · TensorFlow · FastAPI · AWS

European Telecom Group

On-Premises to Azure Cloud Big Data Migration

Senior Cloud Data Architect / Engineer

Audited a legacy on-premises Cloudera ecosystem, co-architected the cloud-native replacement on Azure, Kafka, and Kubernetes for high-volume telecom streams, and built a custom geo-location data library in Apache Spark (Scala/Python) for large spatial datasets.

Azure · Cloudera · Spark · Kafka · Kubernetes · Scala · Python

Supply-Chain Software Provider

Cloud Data Ingestion & Orchestration Pipeline

Senior Data Engineer

Optimized legacy ingestion pipelines for enterprise-scale supply-chain streaming; built Snowflake transformations, Java/Python orchestration workflows, containerized FastAPI microservices on AKS, and Kafka-based low-latency messaging.

Snowflake · Azure · Kafka · Kubernetes (AKS) · Python · Java · SQL

German Energy Utility

Algorithmic Energy Trading Prototype

Quantitative Developer / Data Scientist

Benchmarked numerical algorithms for automated energy trading, developed a production-ready Python prototype for predictive pricing strategies with Plotly dashboards for traders, and deployed on AWS.

Python · scikit-learn · Plotly · AWS · Quantitative Finance

AI Startup

Speech Processing & NLU Pipeline

Data Science Lead

Designed and led a real-time speech processing pipeline — acoustic ingestion, speech-to-text inference, and transfer-learned NLU models — containerized with Docker across a hybrid AWS/GCP environment.

Python · TensorFlow · Keras · Docker · AWS · GCP

Corporate Payments Provider (Aviation)

Spark Data Pipeline Audit & Optimization

Senior Data Engineering Consultant

Audited a production Spark pipeline, refactored core jobs in Java, tuned cluster configuration, and resolved data-skew bottlenecks to stabilize critical production runs.

Apache Spark · Java · Distributed Computing

Major German Bank

Distributed Big Data Platform & Pipeline Architecture

Big Data Platform Architect & Senior Engineer

Built and optimized distributed Spark pipelines (Scala/Java) for large financial datasets, ran the technical evaluation that established Spark as the core compute engine of the bank’s next-generation platform, and built custom connectors to Hive, HBase, and MS SQL Server — all within banking data-governance regulations.

Spark · Scala · Java · Hadoop · Hive · HBase · MS SQL Server

HR-Tech Startup

Predictive Personality Analytics Engine

Quantitative Research & ML Consultant (fractional)

Built predictive models for psychometric traits (multivariate Gaussian Process regression), a Random Forest profile classifier, and an end-to-end Python/Flask web prototype on a recurring R&D retainer.

Python · scikit-learn · Flask · D3.js · AWS · MySQL

Global Telecom Operator, Germany

NLP Analytics Platform

Lead Data Scientist & Project Manager

Led an end-to-end NLP analytics platform over millions of unstructured multi-channel streams: CRF semantic enrichment, RNN/LSTM and LDA models for sentiment and topics, churn prediction, and real-time Spark/Hadoop pipelines feeding Elasticsearch.

Python · Scala · TensorFlow · Spark · Elasticsearch · Hadoop

Asset Management Client

Unstructured Data Extraction & NLP Engine

• Researched statistical and machine-learning methods to extract insights from unstructured financial documents.
• Built prototype classifiers using Random Forests and Naive Bayes to categorize document types and extract text metadata.
• Applied text-clustering algorithms to group unmapped asset datasets and surface patterns and anomalies.
• Integrated MongoDB for schema-less document storage.
• Developed core prototype scripts in Python for parsing and pipeline construction, with R for statistical validation.

Python · R · MongoDB · scikit-learn

Global Investment Bank (Düsseldorf HQ)

Commodities Sales Desk Launch

• Implemented selected commodity derivatives in Front Arena to support a new regional trading operation.
• Built back-to-back hedging functionality to bridge workflows with the firm’s London-based trading desk.
• Conducted gap analysis across existing workflows to map integration requirements for Murex and legacy environments.

Python · Front Arena · Murex

Public Bank, Frankfurt

EMIR Compliance & Reporting Engine

• Designed an automated extraction interface to identify, filter, and extract transaction data for EMIR reporting.
• Implemented a data interface connecting Front Arena’s Sybase database to the central reporting tool, improving query performance for large derivative datasets.
• Built a Jenkins pipeline to automate regression testing, deployments, and CI workflows.
• Developed unit and integration test suites in Python and C# to ensure data integrity and compliance before regulatory submission.

Python · C# · Front Arena · Sybase · Jenkins

Public Bank, Hannover

OIS-Discounting Framework & Curve Migration

Financial Engineer / Technology Consultant

• Analyzed parameter frameworks for interest-rate derivative pricing to support the bank’s move from legacy benchmarks to OIS (Overnight Index Swap) discounting.
• Implemented new pricing models and curve structures in the Front Arena trading and risk platform.
• Audited Python modules and SQL databases to find and resolve hard-coded market-data dependencies.
• Built Excel/VBA tooling to cross-validate new model outputs against legacy pricing frameworks.

Front Arena · SQL · Python · Excel · VBA

Stock Exchange, London

Murex Limit Controller (MLC) Implementation

Embedded MX.3 vendor engineering program (enterprise data architecture and risk-management modules).

• Configured MLC reporting frameworks to monitor real-time credit and market-risk limits for a major stock exchange client.
• Built database interfaces and ETL mapping between the MLC risk engine, MX.3 DataMart, and downstream Oracle databases.
• Optimized queries and data flow in the persistence tier for high-throughput processing of transaction data.

Murex MX.3 · MLC · DataMart · Oracle · SQL · Shell Scripting

Confidential Digital Media Platform, Berlin

Subscription & Video Platform Predictive Analytics

Data Scientist & Machine Learning Contractor

• Developed survival analysis models to estimate customer lifetime and improve subscription attribution.
• Built unsupervised learning models to cluster media content based on user engagement and viewing behavior.
• Analyzed customer journeys to identify churn and conversion drop-off points, informing retention initiatives.
• Designed backend data pipelines and analytics data stores using MongoDB and MySQL for large-scale clickstream and customer profile data.

Python · JavaScript · scikit-learn · MongoDB · MySQL · Survival Analysis · Unsupervised Clustering

TU Munich (with Fraunhofer IZM Berlin)

BMBF-Funded Lens-less Infrared Camera

Research Associate & Project Lead

• Led algorithm development for a BMBF-funded lens-less infrared camera research project.
• Developed image-reconstruction pipelines using deconvolution and edge-detection techniques to synthesize thermal images without physical optics.
• Built an object-localization subsystem using Kalman filtering for real-time tracking.
• Coordinated the software implementation phase, turning mathematical prototypes into production code.
• Supervised and mentored three Master’s students toward project integration.

C++ · Boost · OpenCL · Qt · MATLAB

Technical University of Munich (TUM), Germany

Theoretical Modeling & Neural Information Processing

Research Associate

Researcher on Federal Ministry of Education and Research (BMBF) funded initiatives.

• Developed mathematical abstractions and stochastic neuronal models of information processing in biological sensing systems.
• Built C++ simulation frameworks to run and benchmark multi-variable stochastic model iterations.
• Conducted statistical analysis, parametric modeling, and algorithmic evaluation of simulated datasets to validate theoretical frameworks.
• Built numerical-analysis pipelines and visualizations in R and MATLAB, using MySQL to store simulation parameters.

C++ · R · MATLAB · MySQL · Stochastic Modeling · Numerical Analysis