Clustering Experts in Munich

Philipp G.

Machine Learning & Data Engineer

Last position:

Data Scientist & ML Engineer at Data-Science Factory GmbH

Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
Implementation of automated end-to-end cloud processes
Development of LLM and NLP models
Creation of interactive reports
Support for national and international large corporations as well as medium-sized companies in implementing ML projects

Stephan B.

Freelance Data Scientist

Last position:

Freelance Data Scientist at Baier Data & AI Consulting

Martin R.

Senior LLM Research Scientist

Last position:

Senior LLM Research Scientist at BYO Inc.

Research and develop models for chatbots, NLP and LLMs (e.g. Llama, Qwen, OpenAI)
Enhance chatbots with RAG, in-context learning
Supervised fine-tuning (PEFT, LoRA), Huggingface or Unsloth
Advanced training methods: Test-time training, (transductive) active learning, reinforcement learning
High-throughput serving with vLLM
Apply embedding models (e.g. SentenceTransformers), similarity/vector search or vector DB or ranking (e.g. LlamaIndex, Faiss, LangChain)
Generate and filter synthetic data, clustering
Detect hallucinations
Evaluate chatbot models (Rouge, BLEU, F1-Score, Recall, Precision)
Visualization of experiments (matplotlib)

Raghu Ram V.

Telco Customer Churn Prediction – End-to-End ML Pipeline

Last position:

Telco Customer Churn Prediction – End-to-End ML Pipeline at Self-Initiated Project

Designed and implemented a full machine learning pipeline for churn prediction using the Telco dataset.
Applied preprocessing techniques including missing value handling, categorical encoding, feature scaling, and PCA.
Built and compared over 15 models (logistic regression, random forest, XGBoost, etc.) and evaluated them using accuracy, precision, recall, F1 score, ROC AUC, and PR AUC.
Tuned hyperparameters with GridSearchCV, achieving 80.6% accuracy with random forest and XGBoost.
Created visual reports (bar plots, heatmaps, radar charts) to interpret model performance and churn drivers.
Exported reusable pipelines and trained models with joblib for deployment.

Bengisu Y.

Freelance BI, AI & Digital Strategy Consultant

Last position:

Freelance BI, AI & Digital Strategy Consultant at Various Clients

Delivered AI-driven business and marketing strategies to global clients across various sectors.
Supported small businesses and entrepreneurs with social media content creation, web design, UX/UI improvements, and digital marketing strategies.
Automated analytics workflows and developed dashboards to monitor campaign performance and engagement metrics.
Helped clients enhance their digital presence by combining creative storytelling with measurable insights.
Advised on AI integration in marketing workflows to boost productivity and creative efficiency.

Alyosh A.

Business Intelligence Consultant

Last position:

Business Intelligence Consultant at Large Private Equity Group

Business intelligence and KPI specification and playbook for 35 European companies.

Maziyar K.

Senior Data Engineer

Taufkirchen

Last position:

Data Engineer at MSD Germany

Lead Architect to design and implement the data lake and ETL Pipeline using AWS Stack
Performance Optimization of Data Ingestion of ETL Pipeline
Development of Data Validation using Great Expectations
Leading of the data migration for two sources exchanges
Data Modeling in AWS Redshift

MLOps

Model inference implementation by mlflow and AWS SageMaker
Feature Engineering for the running ML Models ( Recommender Engineer, Clustering )
Implementatino of Model Registry and artifactory using mlflow
Historization an Profiling of the Input Data Using AWS Glue Crawler and AWS Data Catalog
Feature importance using mlflow

Tech. Stack: Python 3, AWS Glue, AWS Step Fucntion, AWS Lambda, AWS EventBridge, AWS IAM Role, AWS SageMaker, AWS EC2, AWS Glue Crawler, AWS CloudWatch, MLFlow, ETL, Data lake, GitHub Action, Terraform, Jenkins, Ansible playbooks (Infrastructure as Code), CI/CD, GitLab, SQL, PySparkSCRUM, Agile, Jira, BigData, VSCode, DBeaver, MSSQL, MySQL, grafana, Docker, Linux, Bash, MapReduce, Data Modeling (ORM), Pandas, YAML, SQL-Alchemy

Daniel C.

Founder & Managing Director

Last position:

Founder & Managing Director at BotCraft GmbH

Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)

Utku U.

Big Data Intern

Last position:

Combining Neural Fields with Hypernetworks

Developed a meta-learning approach with a teammate to merge multiple neural fields into a single scene representation using a hypernetwork.
Implemented and evaluated the method on 2D (MNIST) and 3D (ShapeNet) data, showing faster inference compared to overfitting-based baselines.

Mario G.

Software and Data Engineer

Ottobrunn

Last position:

Software and Data Engineer at Plexify GmbH

Architecture, design and development of an MVP application for a provider of specialized travel experiences
Technologies: Python, FastAPI, Firestore, Firebase, Docker

Janusz M.

IT Senior Software Engineer