Data Wanderer with 3+ years of experience designing and deploying scalable machine learning solutions in cloud and on-premise environments.
Aktualisiert am 16.07.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 16.07.2026
Verfügbar zu: 100%
davon vor Ort: 100%
Data Scientist
Machine Learning
DevOps
Python
Pyspark
SQL
RAG
SVM
Feature Engineering
sci
Sci-kit-learn
Reinforcement Learning
Pyto
Langgraph
LLMs
Prompt Engineering
Kubernetes
Docker
Git
Terraform
German
B1
English
C1

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

4 months
2025-09 - 2025-12

AI chatbot for scientific text analysis

Data Scientist Chatbot LLM Python ...
Data Scientist
  • Built an AI chatbot for an agricultural-sector client?s R&D department, creating retrieval and text-analysis workflows across 1,000 scientific publications with Streamlit interfaces, LangGraph-based reasoning flows, and source-aware prompting.
  • Built a Streamlit-based chatbot front-end with added monitoring features, including RAG endpoint health checks.
  • Implemented the chatbot logic and state flow using LangGraph.
  • Developed an AWS vector database deduplication process to regularly clean and reprocess the document corpus.
  • Built an in-session text analysis feature, allowing researchers to upload short texts and use them directly in the chatbot context without administrator support.
Chatbot LLM Python Docker AWS AWS Bedrock Streamlit UI
Adastra GmbH, Hannover
Remote
3 years 1 month
2022-12 - 2025-12

Enterprise automotive cybersecurity platform

Data Scientist Data Engineer Python Kubernetes ...
Data Scientist
  • Delivered enterprise data and backend components for an automotive cybersecurity platform covering vulnerability, risk, and incident workflows across a fleet of 20M+ vehicles, integrating 30 internal and external APIs.
  • Redesigned data architecture and implemented a custom data-fusion approach for the automotive platform, reducing processing time from 4 hours to 20 minutes, while improving data normalization, reliability, and downstream availability through Superset BI and outbound APIs.

  •  Lead end-to-end developing of Python- and SQL-driven backend services running on Kubernetes

    meetings with business representatives, frontend and L2 support teams.

  • Managed downstream systems such as Superset BI and outbound APIs

  • Facilitated technical decisions within cross-functional

Data Engineer Python Kubernetes CI/CD Atlassian JIRA Atlassian Confluence SQL Apache Spark DevOps
Adastra GmbH · Hannover, Germany
3 years 1 month
2022-12 - 2025-12

Data Science Practice @ Adastra GmbH

Data Scientist Terraform Technical Documentation SVM ...
Data Scientist
  • Developed a predictive maintenance ML prototype for a heavy-duty vehicle client using ECU time-series data from approximately 500 vehicles, deploying a model endpoint to support repair-alert workflows up to one week before required maintenance intervention.
  • Designed AWS cloud and MLOps infrastructure with Terraform and MLflow, enabling 20 data scientists to deploy, monitor, and iterate on model artifacts for NLP and computer vision proof-of-concepts.
  • Supported consulting delivery beyond implementation by preparing SOWs, technical proposals, and go-to-market material for pharma, chemical, and manufacturing initiatives, while mentoring junior engineers and supporting a three-month vendor transition.
Terraform Technical Documentation SVM Time-series Analysis AWS DevOps
Adastra GmbH, Hannover
9 months
2021-10 - 2022-06

Social-network research and data analysis

Research Specialist and Lab Manager
Research Specialist and Lab Manager
  • Analyzed social-network navigation behaviour from 150+ participants using mixed-effects regression and reinforcement-learning successor representation models in R and Python.
  • Built web-based tools for large-scale behavioural data collection, contributing approximately 4,000 lines of JavaScript and enabling online data acquisition from 1,000 participants.
  • Gamified an experimental behavioural task to support participant learning, reducing the required training routine from two days to 90 minutes.
  • Coordinated research workflows with 2 postdoctoral researchers and a 10-person scientific team, covering protocol documentation, ethics committee preparation, data privacy procedures, and grant administration.
Feldmanhall Lab, Brown University · Providence, USA
2 years 4 months
2019-06 - 2021-09

Computational neuroscience research

Research Fellow and Computer Lab Manager
Research Fellow and Computer Lab Manager
  • Modeled patch-leaving foraging behaviour as a reinforcement-learning optimization problem, using the Marginal Value Theorem as a benchmark for evaluating agent performance.
  • Designed research projects on the interaction between model-free reinforcement learning and model-based cognitive processes, including working memory, to study learning efficiency across tasks of varying complexity.
  • Applied multivariate analysis and feature-selection methods to 40+ MEG and fMRI brain recordings, with additional hands-on neural network modeling experience in PyTorch.
  • Presented research at 40+ local and international events and contributed to interdisciplinary scientific communication across pharmacology, psychology, and computational neuroscience, including an opinion piece selected as an Editor?s Pick in 2022.
BPDM Research Group, HHU · Düsseldorf, Germany
1 year 2 months
2018-03 - 2019-04

Linux storage and compute servers management

Systems Administrator
Systems Administrator
  • Administered 5 Linux-based storage and compute servers, automating backup routines with Bash, managing user permissions, and monitoring Slurm workloads.
  • Maintained 10 in-lab workstations and supported compliance with university IT infrastructure standards.
Cognitive Biology Research Group, OVGU · Magdeburg, Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

4 months
2026-01 - 2026-04

AI Engineering

Turing College
Turing College
2 years 1 month
2018-10 - 2020-10

MSc. Integrative Neuroscience

Otto von Guericke Universitat Magdeburg
Otto von Guericke Universitat Magdeburg
7 years 1 month
2008-05 - 2015-05

BSc. Computer Science

BSc., University of Tehran
BSc.
University of Tehran

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist Machine Learning DevOps Python Pyspark SQL RAG SVM Feature Engineering sci Sci-kit-learn Reinforcement Learning Pyto Langgraph LLMs Prompt Engineering Kubernetes Docker Git Terraform

Produkte / Standards / Erfahrungen / Methoden

CORE COMPETENCIES

Technical Consulting & Business Translation

Experienced in communicating trade-offs, risks, and solution options to both technical and non-technical stakeholders.  


ML, LLM, NLP & Agentic AI Systems

  • Hands-on expertise in designing, training, evaluating, and deploying machine learning solutions across structured, unstructured, and time-series data.
  • Practical experience with retrieval-based AI, prompt engineering, context management, text analysis, and agentic workflows.
  • Skilled at building AI systems that balance technical performance, explainability, and user-facing usefulness.


Leadership

  • Experience leading technical delivery from early concept through implementation, while coordinating contributors across disciplines.
  • Able to guide teams through ambiguity, structure complex work, unblock execution, and maintain focus on practical outcomes.


Cross-Functional Collaboration

Strong ability to align diverse stakeholders around shared goals, technical decisions, and implementation priorities.


Scientific Thinking & Research Mindset

Analytical rigor, curiosity, and evidence-based reasoning to applied AI and data science work.


Public Speaking & Presenting

  • Confident presenting complex technical, scientific, and analytical topics to interdisciplinary audiences.
  • Skilled at explaining AI/ML methods, project rationale, model limitations, and technical decisions in clear, accessible language.


TECHNICAL PROFICIENCY

Programming and Data Engineering:

  • Python
  • R
  • SQL 
  • Javascript
  • Bash
  • PySpark
  • Seaborn
  • Pandas


Machine Learning & AI:

  • RAG 
  • SVMs 
  • Feature Engineering 
  • Sci-kit-learn 
  • Reinforcement Learning 
  • Pytorch 
  • Model Evaluation 
  • LangGraph 
  • Streamlit 
  • Context Management 
  • Prompt Engineering 
  • AI Chatbot Systems


Cloud & MLOps:

  • Kubernetes
  • Docker
  • Git
  • MLflow
  • Artifactory
  • Black Duck
  • Sonarqube
  • Helm
  • IAC with Terraform
  • Openshift
  • AWS
  • Azure

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

4 months
2025-09 - 2025-12

AI chatbot for scientific text analysis

Data Scientist Chatbot LLM Python ...
Data Scientist
  • Built an AI chatbot for an agricultural-sector client?s R&D department, creating retrieval and text-analysis workflows across 1,000 scientific publications with Streamlit interfaces, LangGraph-based reasoning flows, and source-aware prompting.
  • Built a Streamlit-based chatbot front-end with added monitoring features, including RAG endpoint health checks.
  • Implemented the chatbot logic and state flow using LangGraph.
  • Developed an AWS vector database deduplication process to regularly clean and reprocess the document corpus.
  • Built an in-session text analysis feature, allowing researchers to upload short texts and use them directly in the chatbot context without administrator support.
Chatbot LLM Python Docker AWS AWS Bedrock Streamlit UI
Adastra GmbH, Hannover
Remote
3 years 1 month
2022-12 - 2025-12

Enterprise automotive cybersecurity platform

Data Scientist Data Engineer Python Kubernetes ...
Data Scientist
  • Delivered enterprise data and backend components for an automotive cybersecurity platform covering vulnerability, risk, and incident workflows across a fleet of 20M+ vehicles, integrating 30 internal and external APIs.
  • Redesigned data architecture and implemented a custom data-fusion approach for the automotive platform, reducing processing time from 4 hours to 20 minutes, while improving data normalization, reliability, and downstream availability through Superset BI and outbound APIs.

  •  Lead end-to-end developing of Python- and SQL-driven backend services running on Kubernetes

    meetings with business representatives, frontend and L2 support teams.

  • Managed downstream systems such as Superset BI and outbound APIs

  • Facilitated technical decisions within cross-functional

Data Engineer Python Kubernetes CI/CD Atlassian JIRA Atlassian Confluence SQL Apache Spark DevOps
Adastra GmbH · Hannover, Germany
3 years 1 month
2022-12 - 2025-12

Data Science Practice @ Adastra GmbH

Data Scientist Terraform Technical Documentation SVM ...
Data Scientist
  • Developed a predictive maintenance ML prototype for a heavy-duty vehicle client using ECU time-series data from approximately 500 vehicles, deploying a model endpoint to support repair-alert workflows up to one week before required maintenance intervention.
  • Designed AWS cloud and MLOps infrastructure with Terraform and MLflow, enabling 20 data scientists to deploy, monitor, and iterate on model artifacts for NLP and computer vision proof-of-concepts.
  • Supported consulting delivery beyond implementation by preparing SOWs, technical proposals, and go-to-market material for pharma, chemical, and manufacturing initiatives, while mentoring junior engineers and supporting a three-month vendor transition.
Terraform Technical Documentation SVM Time-series Analysis AWS DevOps
Adastra GmbH, Hannover
9 months
2021-10 - 2022-06

Social-network research and data analysis

Research Specialist and Lab Manager
Research Specialist and Lab Manager
  • Analyzed social-network navigation behaviour from 150+ participants using mixed-effects regression and reinforcement-learning successor representation models in R and Python.
  • Built web-based tools for large-scale behavioural data collection, contributing approximately 4,000 lines of JavaScript and enabling online data acquisition from 1,000 participants.
  • Gamified an experimental behavioural task to support participant learning, reducing the required training routine from two days to 90 minutes.
  • Coordinated research workflows with 2 postdoctoral researchers and a 10-person scientific team, covering protocol documentation, ethics committee preparation, data privacy procedures, and grant administration.
Feldmanhall Lab, Brown University · Providence, USA
2 years 4 months
2019-06 - 2021-09

Computational neuroscience research

Research Fellow and Computer Lab Manager
Research Fellow and Computer Lab Manager
  • Modeled patch-leaving foraging behaviour as a reinforcement-learning optimization problem, using the Marginal Value Theorem as a benchmark for evaluating agent performance.
  • Designed research projects on the interaction between model-free reinforcement learning and model-based cognitive processes, including working memory, to study learning efficiency across tasks of varying complexity.
  • Applied multivariate analysis and feature-selection methods to 40+ MEG and fMRI brain recordings, with additional hands-on neural network modeling experience in PyTorch.
  • Presented research at 40+ local and international events and contributed to interdisciplinary scientific communication across pharmacology, psychology, and computational neuroscience, including an opinion piece selected as an Editor?s Pick in 2022.
BPDM Research Group, HHU · Düsseldorf, Germany
1 year 2 months
2018-03 - 2019-04

Linux storage and compute servers management

Systems Administrator
Systems Administrator
  • Administered 5 Linux-based storage and compute servers, automating backup routines with Bash, managing user permissions, and monitoring Slurm workloads.
  • Maintained 10 in-lab workstations and supported compliance with university IT infrastructure standards.
Cognitive Biology Research Group, OVGU · Magdeburg, Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

4 months
2026-01 - 2026-04

AI Engineering

Turing College
Turing College
2 years 1 month
2018-10 - 2020-10

MSc. Integrative Neuroscience

Otto von Guericke Universitat Magdeburg
Otto von Guericke Universitat Magdeburg
7 years 1 month
2008-05 - 2015-05

BSc. Computer Science

BSc., University of Tehran
BSc.
University of Tehran

Kompetenzen

Kompetenzen

Top-Skills

Data Scientist Machine Learning DevOps Python Pyspark SQL RAG SVM Feature Engineering sci Sci-kit-learn Reinforcement Learning Pyto Langgraph LLMs Prompt Engineering Kubernetes Docker Git Terraform

Produkte / Standards / Erfahrungen / Methoden

CORE COMPETENCIES

Technical Consulting & Business Translation

Experienced in communicating trade-offs, risks, and solution options to both technical and non-technical stakeholders.  


ML, LLM, NLP & Agentic AI Systems

  • Hands-on expertise in designing, training, evaluating, and deploying machine learning solutions across structured, unstructured, and time-series data.
  • Practical experience with retrieval-based AI, prompt engineering, context management, text analysis, and agentic workflows.
  • Skilled at building AI systems that balance technical performance, explainability, and user-facing usefulness.


Leadership

  • Experience leading technical delivery from early concept through implementation, while coordinating contributors across disciplines.
  • Able to guide teams through ambiguity, structure complex work, unblock execution, and maintain focus on practical outcomes.


Cross-Functional Collaboration

Strong ability to align diverse stakeholders around shared goals, technical decisions, and implementation priorities.


Scientific Thinking & Research Mindset

Analytical rigor, curiosity, and evidence-based reasoning to applied AI and data science work.


Public Speaking & Presenting

  • Confident presenting complex technical, scientific, and analytical topics to interdisciplinary audiences.
  • Skilled at explaining AI/ML methods, project rationale, model limitations, and technical decisions in clear, accessible language.


TECHNICAL PROFICIENCY

Programming and Data Engineering:

  • Python
  • R
  • SQL 
  • Javascript
  • Bash
  • PySpark
  • Seaborn
  • Pandas


Machine Learning & AI:

  • RAG 
  • SVMs 
  • Feature Engineering 
  • Sci-kit-learn 
  • Reinforcement Learning 
  • Pytorch 
  • Model Evaluation 
  • LangGraph 
  • Streamlit 
  • Context Management 
  • Prompt Engineering 
  • AI Chatbot Systems


Cloud & MLOps:

  • Kubernetes
  • Docker
  • Git
  • MLflow
  • Artifactory
  • Black Duck
  • Sonarqube
  • Helm
  • IAC with Terraform
  • Openshift
  • AWS
  • Azure

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Im Bereich Arbeitnehmerüberlassung / Personalvermittlung

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