Nima N.-Data and AI architect
Check rate
Experience
Co founding LLM Engineer
LLM Ventures
- Co-founded an AI venture focused on building production-grade LLM applications and agentic systems
- Designed and implemented multi-agent AI workflows for financial and trading applications
- Developed LLM-powered copilot architectures for portfolio analysis, trade management, and personalized user coaching
- Built on-device and edge-deployed inference applications, optimizing models for low latency, privacy, and resource-constrained environments
- Led system architecture decisions across model selection, orchestration, state management, and deployment
AI-Powered Options Trading Copilot (graVIXor) — Personal Project
- Architected multi-agent system for autonomous trade idea generation and real-time risk monitoring
- Implemented market regime detection to adapt strategy recommendations dynamically
- Built explainable AI layer providing transparent reasoning for each trading recommendation
- Developed educational coaching features with personalized learning paths for options traders
- Stack: Python, Multi-Agent Frameworks, Financial APIs, React, Real-time streaming
LLM-Powered Options Trading Copilot & Portfolio Intelligence Platform
- Designed and built a multi-agent LLM system that acts as a real-time trading coach for retail options traders, covering the full lifecycle from idea generation to position management
- Implemented a stateful, orchestrated AI workflow operating on live portfolio and market data
- Built autonomous trade management agents that monitor open positions, detect risk thresholds, and recommend adjustments (close, roll, rebalance) with confidence scoring and urgency levels
- Integrated real-time market signals into LLM decision-making for context-aware, adaptive recommendations
- Designed the system for transparency and learning: every recommendation is explainable, queryable, and used as in-context education for the trader
- Stack: Python, OpenAI (GPT-4 class models), LangChain-style orchestration, multi-agent architectures, market data APIs, structured state management, async pipelines, cloud-native deployment
Regulatory Compliance RAG System
Implemented a four-stage processing pipeline (document parsing, semantic search layer, knowledge graph, multi-agent orchestration)
Developed automated validation checks for chunk integrity
Created a golden evaluation set (100+ annotated query-answer pairs) with compliance SMEs
Achieved 92% retrieval precision@5 through iterative tuning of embedding models and re-ranking
Deployed on cloud infrastructure with structured logging for every retrieval and generation step (audit trail)
Implemented guardrails: citation verification, hallucination detection, and confidence scoring
CI/CD pipeline with automated regression testing against the evaluation set before each deployment
LLM-Powered Customer Support Automation — Enterprise Retail Client
- Designed and deployed a RAG-based support assistant that reduced average resolution time by 40%
- Ingested 50K+ knowledge base articles into vector store; implemented semantic search with reranking
- Built email automation pipeline: classification, sentiment analysis, summarization, and response generation
- Integrated with existing CRM systems via REST APIs; deployed with real-time monitoring and feedback loops
- Stack: LangChain, OpenAI/Azure OpenAI, Pinecone, Python, Delta Lake, MLflow
Fine-Grained Demand Forecasting at Scale — Manufacturing & Retail
- Built scalable forecasting system generating 100K+ SKU-location predictions daily with 15% accuracy improvement
- Implemented Prophet and SARIMAX models with automated hyperparameter tuning via distributed compute
- Designed feature engineering pipelines incorporating seasonality, promotions, and external signals
- Created inventory optimization layer translating forecasts into actionable procurement recommendations
- Stack: PySpark, Prophet, MLflow, Delta Lake, Airflow, Azure ML
Customer Lifetime Value Prediction — E-Commerce Platform
- Developed probabilistic CLV model (BG/NBD + Gamma-Gamma) processing 10M+ customer transactions
- Enabled marketing team to segment customers by predicted value; increased retention ROI by 25%
- Built real-time scoring API serving personalized offers based on individual CLV predictions
- Integrated with marketing automation platform for triggered campaigns based on value thresholds
- Stack: Python, Lifetimes, PySpark, Delta Lake, FastAPI, Azure Functions
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
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Professional Services, Banking and Finance, Retail, and Manufacturing.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Business Intelligence, Customer Service, Finance, Product Development, and Research and Development.
Summary
Data & AI architect with 14+ years delivering end-to-end solutions—from lakehouse architectures and ML pipelines to production LLM deployments and multi-agent systems. Proven track record at enterprise scale (Databricks, Accenture, PwC) combined with hands-on startup experience building open-source AI products.
Deep expertise in Spark, Delta Lake, Azure/AWS/GCP, and modern GenAI stacks. I help organizations design, build, and operationalize data platforms and AI solutions that drive measurable business outcomes.
Skills
- Data & Analytics: Databricks, Apache Spark, Delta Lake, Azure Synapse, Bigquery, Snowflake, Dbt, Airflow, Kafka
- Ai & Machine Learning: Llm/Genai, Rag, Langchain, Llamaindex, Mlflow, Pytorch, Hugging Face, Fine-Tuning, Vector Dbs
- Agentic Systems: Multi-Agent Architectures, Tool-Use Agents, On-Device Llms, Crewai, Autogen, Langgraph
- Cloud & Devops: Azure, Aws, Gcp, Terraform, Docker, Kubernetes, Ci/Cd, Mlops, Unity Catalog, Data Governance
Languages
Education
TU München
M.Sc. · Physics · Munich, Germany
KIT
Ph.D. · Financial Mathematics · Karlsruhe, Germany
Sharif University
B.Sc. · Physics · Tehran, Iran, Islamic Republic of
Certifications & licenses
Apache Spark Developer Certification
Sharif University
Databricks Certified Data Engineer Professional
Databricks
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Nima is based in Munich, Germany.
Nima speaks the following languages: Persian (Native), German (Advanced), English (Advanced).
Nima has at least 16 years of experience. During this time, Nima has worked in at least 11 different roles and for 5 different companies. The average length of individual experience is 1 year and 5 months. Note that Nima may not have shared all experience and actually has more experience.
Based on recent experience, Nima would be well-suited for roles such as: Co founding LLM Engineer, AI-Powered Options Trading Copilot (graVIXor) — Personal Project, LLM-Powered Options Trading Copilot & Portfolio Intelligence Platform.
Nima's most recent position is Co founding LLM Engineer at LLM Ventures.
In recent years, Nima has worked for LLM Ventures and Databricks.
Nima is most experienced in industries like Information Technology, Professional Services, and Banking and Finance. Nima also has some experience in Retail and Manufacturing.
Nima is most experienced in business areas like Information Technology, Business Intelligence, and Customer Service. Nima also has some experience in Finance, Product Development, and Research and Development.
Nima has recently worked in industries like Information Technology, Banking and Finance, and Retail.
Nima has recently worked in business areas like Customer Service, Business Intelligence, and Information Technology.
Nima holds a Doctorate in Financial Mathematics from KIT, a Master in Physics from TU München and a Bachelor in Physics from Sharif University.
Nima has 2 certificates. These include: Apache Spark Developer Certification and Databricks Certified Data Engineer Professional.
The availability of Nima needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 15 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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