🎯 AI & Data Science Enthusiast | Machine Learning Engineer | NLP | Causal ML | Deep Learning | Predictive Analytics | Web Application Development.
📍 Based in Germany | Master's in Computer Science | Passionate about AI-driven Innovation
I am a Machine Learning Engineer specializing in AI, Predictive Modeling, and Software Development. My experience spans across Causal ML, Large Language Models (LLMs), and Industrial AI, with hands-on expertise in Python, ML, Deep Learning, and Cloud Computing.
🔹 Key Expertise:
- Machine Learning & Deep Learning (TensorFlow, PyTorch, Scikit-Learn)
- Causal Machine Learning (DoWhy, EconML)
- Large Language Models (LLM) & NLP
- Cloud & MLOps (AWS, Databricks)
- Data Science for Industrial Applications
🔹 Causal ML Framework
- Designed a Causal Machine Learning (CML) framework to integrate causal inference into production environments.
- Implemented using DoWhy, EconML, and deployed on cloud platforms.
🔹 Predictive Maintenance - ML4PdM
- Built a Python library for predictive maintenance (PdM) using ML pipelines & time-series forecasting.
- Integrated with scikit-learn for seamless transformations & evaluations.
🔹 Resource Utilization Forecasting
- Developed an LSTM-based forecasting model to predict CPU, RAM, and HDD usage.
- Optimized performance using hyperparameter tuning and cross-validation.
- 📊 Bremen Big Data Challenge 2023 – Developed XGBoost forecasting models for water sample analysis.
🚀 Always open to collaborations and exciting AI opportunities! Let's build something amazing together.