ML engineer and Data Scientist with focus on LLM fine-tuning, transformers, security-aware NLP, time-series and streaming data processing
Aktualisiert am 18.11.2025
Profil
Mitarbeiter eines Dienstleisters
Remote-Arbeit
Verfügbar ab: 18.11.2025
Verfügbar zu: 100%
davon vor Ort: 100%
Skill-Profil eines fest angestellten Mitarbeiters des Dienstleisters
English
Muttersprache
German
Verhandlungssicher

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

1 year 4 months
2024-08 - 2025-11

Thermodynamic Optimisation Engine

AI Engineer AI Python Pytorch ...
AI Engineer

Description: Development and optimisation of a physics-informed thermodynamic solver in PyTorch to support internal simulation and optimisation tasks for heat-exchanger-related calculations.

Technologies: PyTorch, numerical optimisation, physics-informed modelling, Python, Gekko, PyTest

Programming Languages: Python

Team: Collaboration with domain experts and backend developers

Role: AI  Engineer 

Responsibilities:

?Re-implemented and optimised a thermodynamic solver using PyTorch with vectorisation and batching.
?Stabilised numerical behaviour and improved convergence properties.
?Benchmarked different configurations and documented trade-offs for stakeholders.

Results:

?Reduced runtime by ~37 % and iterations to convergence by ~23 %, with ~2.1 % lower error vs. previous internal baseline.
?Improved suitability of the solver for integration into optimisation workflows and interactive tools.
AI Python Pytorch numeric Gekko
Korntal-Münchingen
5 months
2024-10 - 2025-02

RAG-based Knowledge Assistant

Team Lead, Data Scientist & ML Engineer Python AI RAG
Team Lead, Data Scientist & ML Engineer

Description: Prototype of a Retrieval-Augmented Generation (RAG) chatbot to support internal users in querying documentation and knowledge bases via natural language.

Technologies: Azure AI Services / Azure OpenAI, LangChain, MySQL, vector search, prompt engineering, RBAC

Programming Languages: Python, SQL, Azure AI Service

Team: Small AI/engineering team, working closely with internal stakeholders

Role: Team Lead, Data Scientist & ML Engineer 

Responsibilities:

?Implemented a RAG pipeline with document ingestion, chunking and retrieval.
?Integrated Azure AI Services/OpenAI models via LangChain and designed core prompts and flows.
?Connected the system to a PostGreSQL backend and added role-based access control and basic guardrails.

Results:

?Delivered a working internal prototype that improved access to documentation and reduced manual search effort for pilot users.
?Established a foundation for future internal assistants and AI-driven knowledge tools.
Azure SQL LangChain
Python AI RAG
Stuttgart
1 year 1 month
2022-09 - 2023-09

Smart Energy Forecasting & Management

Data Scientist & ML Engineer Python AI SQL ...
Data Scientist & ML Engineer

Description: Design and development of forecasting models for solar energy production and consumption as part of a smart energy management solution, combining weather data, historical time-series and domain logic.

Technologies: Scikit-Learn, CatBoost, XGBoost, Python, SQL/MySQL, time-series feature engineering, MLflow, Docker

Programming Languages: Python, SQL

Team: Agile team with AI, backend and product stakeholders

Role: Data Scientist & ML Engineer 

Responsibilities:

?Designed and implemented time-series models for forecasting solar production and consumption.
?Engineered weather- and calendar-based features; set up train/validation/test strategy and baselines.
?Integrated models into the existing backend and scheduling logic in close collaboration with developers.
?Implemented basic monitoring and scheduled retraining workflows.

Results:

?Achieved MAPE ~8.7 % and MAE ~21 % lower than a naïve seasonal baseline on hold-out periods.
?Enabled more reliable energy recommendations and improved transparency for downstream features.
Scikit-Learn CatBoost XGBoost
Python AI SQL Time-series
new move energy GmbH
Stuttgart

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years 1 month
2023-10 - 2025-10

Data Science

Master of Science (M.Sc.), Technische Universität Hamburg
Master of Science (M.Sc.)
Technische Universität Hamburg
3 years 9 months
2019-10 - 2023-06

Electronics and Telecommunication Engineering

Bachelor of Technology (B.Tech), SPPU, India
Bachelor of Technology (B.Tech)
SPPU, India

Position

Position

I am a data scientist and ML engineer with a strong focus on NLP (LLM fine-tuning, transformers, security-aware NLP), time-series forecasting and streaming data processing especially in the energy and cybersecurity domains.

Kompetenzen

Kompetenzen

Programmiersprachen

Python
Experte
C++
Fortgeschritten
R
Basics

Datenbanken

AWS DynamoDB
Fortgeschritten
Azure SQL DB
Fortgeschritten
PostgresSQL
Fortgeschritten

Branchen

Branchen

I am experienced in the Energy, Industrial and Security areas but very open-minded for new topics.

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

1 year 4 months
2024-08 - 2025-11

Thermodynamic Optimisation Engine

AI Engineer AI Python Pytorch ...
AI Engineer

Description: Development and optimisation of a physics-informed thermodynamic solver in PyTorch to support internal simulation and optimisation tasks for heat-exchanger-related calculations.

Technologies: PyTorch, numerical optimisation, physics-informed modelling, Python, Gekko, PyTest

Programming Languages: Python

Team: Collaboration with domain experts and backend developers

Role: AI  Engineer 

Responsibilities:

?Re-implemented and optimised a thermodynamic solver using PyTorch with vectorisation and batching.
?Stabilised numerical behaviour and improved convergence properties.
?Benchmarked different configurations and documented trade-offs for stakeholders.

Results:

?Reduced runtime by ~37 % and iterations to convergence by ~23 %, with ~2.1 % lower error vs. previous internal baseline.
?Improved suitability of the solver for integration into optimisation workflows and interactive tools.
AI Python Pytorch numeric Gekko
Korntal-Münchingen
5 months
2024-10 - 2025-02

RAG-based Knowledge Assistant

Team Lead, Data Scientist & ML Engineer Python AI RAG
Team Lead, Data Scientist & ML Engineer

Description: Prototype of a Retrieval-Augmented Generation (RAG) chatbot to support internal users in querying documentation and knowledge bases via natural language.

Technologies: Azure AI Services / Azure OpenAI, LangChain, MySQL, vector search, prompt engineering, RBAC

Programming Languages: Python, SQL, Azure AI Service

Team: Small AI/engineering team, working closely with internal stakeholders

Role: Team Lead, Data Scientist & ML Engineer 

Responsibilities:

?Implemented a RAG pipeline with document ingestion, chunking and retrieval.
?Integrated Azure AI Services/OpenAI models via LangChain and designed core prompts and flows.
?Connected the system to a PostGreSQL backend and added role-based access control and basic guardrails.

Results:

?Delivered a working internal prototype that improved access to documentation and reduced manual search effort for pilot users.
?Established a foundation for future internal assistants and AI-driven knowledge tools.
Azure SQL LangChain
Python AI RAG
Stuttgart
1 year 1 month
2022-09 - 2023-09

Smart Energy Forecasting & Management

Data Scientist & ML Engineer Python AI SQL ...
Data Scientist & ML Engineer

Description: Design and development of forecasting models for solar energy production and consumption as part of a smart energy management solution, combining weather data, historical time-series and domain logic.

Technologies: Scikit-Learn, CatBoost, XGBoost, Python, SQL/MySQL, time-series feature engineering, MLflow, Docker

Programming Languages: Python, SQL

Team: Agile team with AI, backend and product stakeholders

Role: Data Scientist & ML Engineer 

Responsibilities:

?Designed and implemented time-series models for forecasting solar production and consumption.
?Engineered weather- and calendar-based features; set up train/validation/test strategy and baselines.
?Integrated models into the existing backend and scheduling logic in close collaboration with developers.
?Implemented basic monitoring and scheduled retraining workflows.

Results:

?Achieved MAPE ~8.7 % and MAE ~21 % lower than a naïve seasonal baseline on hold-out periods.
?Enabled more reliable energy recommendations and improved transparency for downstream features.
Scikit-Learn CatBoost XGBoost
Python AI SQL Time-series
new move energy GmbH
Stuttgart

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years 1 month
2023-10 - 2025-10

Data Science

Master of Science (M.Sc.), Technische Universität Hamburg
Master of Science (M.Sc.)
Technische Universität Hamburg
3 years 9 months
2019-10 - 2023-06

Electronics and Telecommunication Engineering

Bachelor of Technology (B.Tech), SPPU, India
Bachelor of Technology (B.Tech)
SPPU, India

Position

Position

I am a data scientist and ML engineer with a strong focus on NLP (LLM fine-tuning, transformers, security-aware NLP), time-series forecasting and streaming data processing especially in the energy and cybersecurity domains.

Kompetenzen

Kompetenzen

Programmiersprachen

Python
Experte
C++
Fortgeschritten
R
Basics

Datenbanken

AWS DynamoDB
Fortgeschritten
Azure SQL DB
Fortgeschritten
PostgresSQL
Fortgeschritten

Branchen

Branchen

I am experienced in the Energy, Industrial and Security areas but very open-minded for new topics.

Vertrauen Sie auf Randstad

Im Bereich Freelancing
Im Bereich Arbeitnehmerüberlassung / Personalvermittlung

Fragen?

Rufen Sie uns an +49 89 500316-300 oder schreiben Sie uns:

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