Software Engineer

Ich habe in vielen Bereichen gearbeitet, seit neuerdings auch intensiv mit LLM's, GenAI, ...

Large Language Models (LLM)

Retrieval-Augmented Generation (RAG)

Claude, OpenRouter, Piper TTS

Generative AI applications

Speech-to-text via Google Cloud Speech API (streaming)

Natural Language Processing (NLP)

Voice and text input recognition

AI-driven personalization and feedback adaptation

Deep Learning (PyTorch, TensorFlow, Theano)

Convolutional Neural Networks (CNN)

Single-Shot Object Detector (Computer Vision)

Machine Learning model integration (XGBoost, KNN embeddings)

Relevance ranking and search optimization (ElasticSearch, ML models)

Data augmentation strategies

Predictive modeling for customer churn

Autonomous regression testing and AI PR reviews

Backend and microservice architecture (Go, Java, Scala, Haskell, Python, Dart)

Compiler / Code generator development (Nano-Pass compiler architecture)

Language Server Protocol (LSP) implementation

Functional programming, DSL design for chatbots

JSON Schema validation, incremental parsing

Cloud deployment (GCP, AWS, Firebase, Docker, Kubernetes, Cloud Run)

CI/CD pipelines (Bazel, Jenkins, GitHub Actions, Zuul)

Infrastructure as Code (AWS CloudFormation, CDK)

API design (GraphQL, REST, WebSockets)

Realtime systems, streaming pipelines (Kafka, Flink, Kinesis)

Edge and embedded software for automotive systems (BMW / IDV AG)

AI-powered meditation and relaxation app (customizable via user feedback)

Chatbot backend and conversational DSL design (e-bot7)

AI-based medical diagnosis services (Leukemia detection webservice)

Predictive analytics and search relevance optimization

PV inspection automation app (document-driven, Flutter/Dart)

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Languages: Go, Scala, Java, Python, Haskell, Dart, Typescript, JavaScript, C++, Erlang

Frameworks: Flutter, React, Next.js, Spring Boot, Akka, Play, Flask

ML/AI Tools: TensorFlow, PyTorch, Theano, XGBoost, Pandas, Spark

Cloud: AWS (EC2, Lambda, S3, DynamoDB), GCP, Firebase

Databases: MongoDB, Redis, LevelDB, Cassandra, Oracle

DevOps: Docker, Kubernetes, Bazel, CI/CD automation

Tooling: IntelliJ, VS Code, Fastlane, GraphQL Federation, JSON/YAML