Senior AI Engineer

Principal AI Platform Engineer (Freelance / Contract) with 12+ years in distributed systems and 8+ years delivering production-scale AI, Generative AI, and Agentic AI platforms in regulated financial services.

• Agentic
• Lead Developer
• Machine Learning Engineer
• Solution Architekt

Principal AI Platform Engineer (Freelance / Contract) with 12+ years in distributed systems and 8+ years delivering production-scale AI, Generative AI, and Agentic AI platforms in regulated financial services. Expert in LLMOps, RAG, and multi-agent architectures, building secure, explainable, and audit-ready AI systems that modernize risk, compliance, KYC/AML, and enterprise productivity. Proven at designing end-to-end cloud-native AI platforms across AWS, Azure, and GCP, enabling scalable, resilient, and cost-efficient AI adoption. Strong track record leading AI platform transformation from strategy through hands-on implementation, aligning with GDPR, EU AI Act, BaFin, and ECB governance standards.

Agentic & Generative AI: Agentic AI Architecture, Multi-Agent Systems, LangChain, LangGraph, CrewAI, AutoGen, Haystack, Conversational & Voice Agents, Advanced RAG, Prompt Engineering (RACE), LoRA Fine-Tuning, RLHF, LLM Evaluation & Guardrails, AI Workflow Automation.
AI Platform Engineering & LLMOps: LLMOps Pipelines, Model Serving, MLflow, Kubeflow, DVC, CI/CD for AI, Model Monitoring, Drift Detection, Observability (Grafana, Prometheus), Responsible AI, Explainability, Audit Logging
Cloud AI & Data Platforms: Azure OpenAI, Azure Databricks, Azure ML, AWS SageMaker, AWS Kinesis, GCP Vertex AI, BigQuery, Dataflow, Dataproc, Delta Lake, Scalable ETL (ADF, Glue), Feature Engineering Pipelines, Data Governance
AI Infrastructure & Integration: FastAPI, REST APIs, Microservices, Kafka Streaming, Vector Databases (FAISS, Pinecone, Chroma, MongoDB), Secure Model Deployment, Distributed Systems
Programming & Engineering: Python, Java, Spring Boot, GitOps, Docker, Kubernetes, Terraform, Automation & Scripting.