Nima Nooshi - Co founding LLM Engineer

Q: Where is Nima based?

Nima is based in Munich, Germany .

Q: What languages does Nima speak?

Nima speaks the following languages: Persian (Native), German (Advanced), English (Advanced) .

Q: How many years of experience does Nima have?

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.

Q: What is Nima's latest experience?

Nima's most recent position is Co founding LLM Engineer at LLM Ventures .

Q: What companies has Nima worked for in recent years?

In recent years, Nima has worked for LLM Ventures and Databricks .

Q: Which industries is Nima most experienced in?

Nima is most experienced in industries like Information Technology (IT) , Professional Services , and Banking and Finance . Nima also has some experience in Retail and Manufacturing .

Q: Which business areas is Nima most experienced in?

Nima is most experienced in business areas like Information Technology (IT) , Business Intelligence , and Customer Service . Nima also has some experience in Finance , Product Development , and Research and Development (R&D) .

Q: Which industries has Nima worked in recently?

Nima has recently worked in industries like Information Technology (IT) , Banking and Finance , and Retail .

Q: Which business areas has Nima worked in recently?

Nima has recently worked in business areas like Customer Service , Business Intelligence , and Information Technology (IT) .

Recommended expert

Munich, Germany

Experience

Jan 2025 - Dec 2026

2 years

Germany

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

Jan 2024 - Present

2 years 2 months

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

Jan 2024 - Dec 2025

2 years

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

Jan 2024 - Dec 2025

2 years

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

Jan 2024 - Dec 2024

1 year

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

Jan 2023 - Dec 2024

2 years

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

Jan 2023 - Dec 2023

1 year

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

Jan 2019 - Dec 2025

7 years

Germany

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

Jan 2018 - Dec 2019

2 years

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

Jan 2014 - Dec 2018

5 years

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

Jan 2011 - Dec 2013

3 years

Consultant

ADWEKO Group

SAP consulting and implementation projects in banking and finance sector

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Information Technology (8 years), Banking and Finance (6 years), Professional Services (6 years), Retail (2 years), and Manufacturing (2 years).

Information Technology

Banking and Finance

Professional Services

Retail

Manufacturing

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (13 years), Business Intelligence (12 years), Customer Service (7 years), Finance (5 years), Product Development (3 years), and Research and Development (3 years).

Information Technology

Business Intelligence

Customer Service

Finance

Product Development

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

Persian

Native

German

Advanced

English

Advanced

Education

Oct 2020 - Jun 2022

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

Profile

Created

February 2026

Need a freelancer? Find your match in seconds.

Try FRATCH GPT

Frequently asked questions

Do you have questions? Here you can find further information.

Where is Nima based?

Nima is based in Munich, Germany.

What languages does Nima speak?

Nima speaks the following languages: Persian (Native), German (Advanced), English (Advanced).

How many years of experience does Nima have?

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.

What roles would Nima be best suited for?

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.

What is Nima's latest experience?

Nima's most recent position is Co founding LLM Engineer at LLM Ventures.

What companies has Nima worked for in recent years?

In recent years, Nima has worked for LLM Ventures and Databricks.

Which industries is Nima most experienced in?

Nima is most experienced in industries like Information Technology (IT), Professional Services, and Banking and Finance. Nima also has some experience in Retail and Manufacturing.

Which business areas is Nima most experienced in?

Nima is most experienced in business areas like Information Technology (IT), Business Intelligence, and Customer Service. Nima also has some experience in Finance, Product Development, and Research and Development (R&D).

Which industries has Nima worked in recently?

Nima has recently worked in industries like Information Technology (IT), Banking and Finance, and Retail.

Which business areas has Nima worked in recently?

Nima has recently worked in business areas like Customer Service, Business Intelligence, and Information Technology (IT).

What is Nima's education?

Nima holds a Doctorate in Financial Mathematics from KIT, a Master in Physics from TU München and a Bachelor in Physics from Sharif University.

Does Nima have any certificates?

Nima has 2 certificates. These include: Apache Spark Developer Certification and Databricks Certified Data Engineer Professional.

What is the availability of Nima?

Nima will be available from February 2026.

What is the rate of Nima?

Nima's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.