04.02.2026 aktualisiert

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Senior Data & AI Architect

München, Deutschland
Weltweit
Ph.D. Financial Mathematics
München, Deutschland
Weltweit
Ph.D. Financial Mathematics

Profilanlagen

Nima_Nooshi_Freelance_CV_v3.docx.pdf

Über mich

Mit 14+ Jahren Erfahrung in Data Engineering, Machine Learning und GenAI bringe ich sowohl Enterprise-Know-how (Databricks, Accenture, PwC) als auch Startup-Mentalität mit. Ich verstehe nicht nur die Technik, sondern auch die Business-Seite

Skills

Unity3DKünstliche IntelligenzAutomatisierter HandelAmazon Web ServicesData AnalysisArchitekturMicrosoft AzureGoogle BigQueryCloud ComputingComplianceContinuous IntegrationKundenanalyseData GovernanceNachfrage-PrognoseFinanzmathematikDevOpsForecastingPythonMachine LearningMarketing-AutomatisierungSystementwicklungs-LebenszyklusRisikoanalyseScalaHandelSQLStatistikenStreamingTypeScriptModellierungsfähigkeitenDatenverarbeitungGoogle CloudEchtzeitsystemePyTorchLarge Language ModelsSnowflakeMulti-Agent SystemsApache SparkGitData LakePySparkKubernetesHuggingFaceMachine Learning OperationsReact NativeFintechRestful ApisTerraformAzure Synapse AnalyticsSoftware Version ControlDockerDatabricksProgramming Languages
Data & Analytics Architecture
Advanced expertise in Databricks, Apache Spark, Delta Lake, Azure Synapse, BigQuery, Snowflake, and modern data platform architectures for enterprise-scale solutions

AI & Machine Learning Systems
Deep knowledge in LLM/GenAI, RAG, LangChain, LlamaIndex, MLflow, PyTorch, Hugging Face, and production ML pipeline development

Agentic Systems Development
Specialized skills in Multi-Agent Architectures, Tool-Use Agents, llama.cpp, On-Device LLMs, CrewAI, AutoGen, and LangGraph implementations

Cloud & DevOps
Comprehensive experience with Azure, AWS, GCP, Terraform, Docker, Kubernetes, CI/CD, MLOps, Unity Catalog, and Data Governance

Programming Languages
Proficient in Python, SQL, Scala, PySpark, TypeScript, React Native, REST APIs, and Git version control

Financial Technology
Specialized knowledge in risk data flows, trading/treasury products, quantitative libraries, regulatory reporting, and financial mathematics

Customer Analytics
Advanced skills in customer lifetime value prediction, demand forecasting, probabilistic modeling, and marketing automation integration

Real-time Systems
Experience with real-time streaming, market regime detection, automated trading systems, and high-frequency data processing

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2025

Sprachen

DeutschverhandlungssicherEnglischverhandlungssicher

Projekthistorie

Sr. Customer Enablement Architect / Sr. Customer Success Engineer

Databricks
First CSE in DACH region; built technical advisory and enablement practice from ground up. Managed $5M+ ARR book of business with >100% net revenue retention consistently. Designed and delivered scalable enablement programs for region's largest enterprises. Scoped POVs, success criteria, and SOWs for greenfield data platform and AI initiatives.

Manager - Analytics & Applied Intelligence

Accenture
Owned AI/ML engagements end-to-end: scoping, solution design, team leadership, production handover. Led development teams across multiple projects; delivered AI use cases from PoC to production.

Senior Consultant

PwC
Built pricing and risk data flows for trading/treasury products; integrated quantitative libraries. Supported regulatory and risk reporting with technology architecture and data quality controls.

Consultant

ADWEKO Group
SAP consulting and implementation projects in banking and finance sector.

Zertifikate

Databricks professional Data Engineer

Databricks

2023


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