Expert Data Scientist and AI Engineer focus on NLP, RAG and LLM system
Aktualisiert am 25.06.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.07.2026
Verfügbar zu: 100%
davon vor Ort: 100%
NLP
RAG
LLM
Python
Langgraph
Vietnamese
Muttersprache
English
fluent
German
Intermediary/fluent
Italian
Intermediary/fluent

Einsatzorte

Einsatzorte

Berlin (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 years 10 months
2023-03 - 2025-12

AI-powered software for supplier search

Senior AI Engineer + AI Team Lead
Senior AI Engineer + AI Team Lead
  • Designed and deployed end-to-end ML and LLM systems for supplier search, including document ingestion, vector databases, RAG pipelines, semantic and hybrid retrieval, reranking, NER, embeddings, text classification, and agent-based workflows; improved search relevance by 20%, reduced manual effort by 30%, and achieved up to 85% accuracy across key pipelines.
  • Built production-grade backend and inference services for high-load AI applications and complex data contracts, improving reliability, scalability, and system integration while reducing cloud costs by 30% through model and inference optimization.
  • Led technical delivery from discovery to production, translating business needs into AI solutions, setting roadmap priorities, and partnering with product, engineering, and business stakeholders on taxonomy design, data labeling, experimentation, and data quality.
  • Built and mentored a 4-person AI/Data Science team, driving execution standards, technical direction, and team growth while remaining hands-on in architecture and delivery.
  • Managed vendors, tooling decisions, budgets, and hiring across AI and engineering, improving cost efficiency and strengthening the team?s delivery capacity.
ALPAS
Berlin
5 months
2022-10 - 2023-02

AI-powered software for supplier search

Data Scientist
Data Scientist
  • Build and maintain production-ready ML models for text extraction, NER detection, and classification 
  • Close collaboration with Products and Engineers to deliver end-to-end project solutions and drive Data science effort and ensure AI impact and usability on client-facing interface.
  • People and project management for d ata annotations and Data quality control 
ALPAS
3 years 3 months
2019-04 - 2022-06

Leading Food delivery platform

Data Scientist
Data Scientist

  • Built NLP pipelines for menu intelligence, including NER, text tagging, and embedding-based matching models to identify ingredients and branded products across large menu datasets.
  • Applied these models to business use cases such as additives and allergens detection, alcoholic product recognition, product information display, and brand-partnership tagging.
  • Defined food taxonomies and trained text classification models for cuisine type, dish type, dish group, and course, improving the structured understanding of unstructured menu data.
  • Containerized and deployed ML services with Docker, FastAPI, and AWS SageMaker, and improved prediction quality through test-set evaluation, monitoring, and CI/CD workflows.
  • Collaborated with DE, managed training and test datasets with external labeling vendors such as Amazon Mechanical Turk and Appen, and supported restaurant segmentation through basket analysis, clustering, and Tableau dashboards.

JUST EAT - TAKEAWAY
Berlin
7 months
2018-09 - 2019-03

Leading Food delivery platform

Data analyst Intern
Data analyst Intern
  • Use SQL for data retrieval and analysis, and generate data for a CRM email recommendation campaign 
  • Verify and update food ontology data using AWS service, increase 10% data verification index in the two main markets, Germany and the Netherlands. Build, update, and maintain the team?s KPI Tableau reports
JUST EAT - TAKEAWAY
Berlin

Aus- und Weiterbildung

Aus- und Weiterbildung

1 year 1 month
2017-10 - 2018-10

Industrial Engineering & Management

KARLSRUHE INSTITUTE OF TECHNOLOGY (KIT) Karlsruhe, Germany
KARLSRUHE INSTITUTE OF TECHNOLOGY (KIT) Karlsruhe, Germany


1 year 1 month
2016-09 - 2017-09

International Management (MIM)

M.Sc., UNIVERSITY OF TRENTO Trento, Italy
M.Sc.
UNIVERSITY OF TRENTO Trento, Italy

Kompetenzen

Kompetenzen

Top-Skills

NLP RAG LLM Python Langgraph

Produkte / Standards / Erfahrungen / Methoden

Profile

Seasoned and driven AI Engineer & Data Science Leader with a strong business foundation and sound technical expertise, passionate about delivering real-world impact through data-driven methods and enhanced observability. I have grown from hands-on NLP and ML expertise (Agentic AI, RAG, LLMs, NER, text classification, embeddings, clustering, transformer-based models, and semantic search) into building and leading high-performing AI teams while staying hands-on. My experience spans end-to-end ML pipelines, LLM and agentic applications, and productionizing models, alongside managing AI strategy, OKRs, hiring, and collaboration with Product and Tech stakeholders.


Stack & tools:

  • Python
  • Docker
  • Claude
  • Cursor
  • SQL
  • Flask
  • Tableau
  • Looker
  • Hex
  • Retool
  • dbt
  • Scikit-learn
  • PyTorch
  • transformers
  • spaCy
  • pandas
  • NumPy
  • LLM
  • GPT
  • Gemini
  • Perplexity
  • DeepEval
  • Ragas
  • Presidio
  • MongoDB
  • Elasticsearch
  • FAISS
  • Langraph
  • Langchain
  • Langfuse
  • Jira
  • Github project
  • Notion
  • Miro
  • Graphio

Einsatzorte

Einsatzorte

Berlin (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 years 10 months
2023-03 - 2025-12

AI-powered software for supplier search

Senior AI Engineer + AI Team Lead
Senior AI Engineer + AI Team Lead
  • Designed and deployed end-to-end ML and LLM systems for supplier search, including document ingestion, vector databases, RAG pipelines, semantic and hybrid retrieval, reranking, NER, embeddings, text classification, and agent-based workflows; improved search relevance by 20%, reduced manual effort by 30%, and achieved up to 85% accuracy across key pipelines.
  • Built production-grade backend and inference services for high-load AI applications and complex data contracts, improving reliability, scalability, and system integration while reducing cloud costs by 30% through model and inference optimization.
  • Led technical delivery from discovery to production, translating business needs into AI solutions, setting roadmap priorities, and partnering with product, engineering, and business stakeholders on taxonomy design, data labeling, experimentation, and data quality.
  • Built and mentored a 4-person AI/Data Science team, driving execution standards, technical direction, and team growth while remaining hands-on in architecture and delivery.
  • Managed vendors, tooling decisions, budgets, and hiring across AI and engineering, improving cost efficiency and strengthening the team?s delivery capacity.
ALPAS
Berlin
5 months
2022-10 - 2023-02

AI-powered software for supplier search

Data Scientist
Data Scientist
  • Build and maintain production-ready ML models for text extraction, NER detection, and classification 
  • Close collaboration with Products and Engineers to deliver end-to-end project solutions and drive Data science effort and ensure AI impact and usability on client-facing interface.
  • People and project management for d ata annotations and Data quality control 
ALPAS
3 years 3 months
2019-04 - 2022-06

Leading Food delivery platform

Data Scientist
Data Scientist

  • Built NLP pipelines for menu intelligence, including NER, text tagging, and embedding-based matching models to identify ingredients and branded products across large menu datasets.
  • Applied these models to business use cases such as additives and allergens detection, alcoholic product recognition, product information display, and brand-partnership tagging.
  • Defined food taxonomies and trained text classification models for cuisine type, dish type, dish group, and course, improving the structured understanding of unstructured menu data.
  • Containerized and deployed ML services with Docker, FastAPI, and AWS SageMaker, and improved prediction quality through test-set evaluation, monitoring, and CI/CD workflows.
  • Collaborated with DE, managed training and test datasets with external labeling vendors such as Amazon Mechanical Turk and Appen, and supported restaurant segmentation through basket analysis, clustering, and Tableau dashboards.

JUST EAT - TAKEAWAY
Berlin
7 months
2018-09 - 2019-03

Leading Food delivery platform

Data analyst Intern
Data analyst Intern
  • Use SQL for data retrieval and analysis, and generate data for a CRM email recommendation campaign 
  • Verify and update food ontology data using AWS service, increase 10% data verification index in the two main markets, Germany and the Netherlands. Build, update, and maintain the team?s KPI Tableau reports
JUST EAT - TAKEAWAY
Berlin

Aus- und Weiterbildung

Aus- und Weiterbildung

1 year 1 month
2017-10 - 2018-10

Industrial Engineering & Management

KARLSRUHE INSTITUTE OF TECHNOLOGY (KIT) Karlsruhe, Germany
KARLSRUHE INSTITUTE OF TECHNOLOGY (KIT) Karlsruhe, Germany


1 year 1 month
2016-09 - 2017-09

International Management (MIM)

M.Sc., UNIVERSITY OF TRENTO Trento, Italy
M.Sc.
UNIVERSITY OF TRENTO Trento, Italy

Kompetenzen

Kompetenzen

Top-Skills

NLP RAG LLM Python Langgraph

Produkte / Standards / Erfahrungen / Methoden

Profile

Seasoned and driven AI Engineer & Data Science Leader with a strong business foundation and sound technical expertise, passionate about delivering real-world impact through data-driven methods and enhanced observability. I have grown from hands-on NLP and ML expertise (Agentic AI, RAG, LLMs, NER, text classification, embeddings, clustering, transformer-based models, and semantic search) into building and leading high-performing AI teams while staying hands-on. My experience spans end-to-end ML pipelines, LLM and agentic applications, and productionizing models, alongside managing AI strategy, OKRs, hiring, and collaboration with Product and Tech stakeholders.


Stack & tools:

  • Python
  • Docker
  • Claude
  • Cursor
  • SQL
  • Flask
  • Tableau
  • Looker
  • Hex
  • Retool
  • dbt
  • Scikit-learn
  • PyTorch
  • transformers
  • spaCy
  • pandas
  • NumPy
  • LLM
  • GPT
  • Gemini
  • Perplexity
  • DeepEval
  • Ragas
  • Presidio
  • MongoDB
  • Elasticsearch
  • FAISS
  • Langraph
  • Langchain
  • Langfuse
  • Jira
  • Github project
  • Notion
  • Miro
  • Graphio

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