🚀 Robotics Engineer turned Machine Learning enthusiast, passionate about solving real-world problems with data, algorithms, and intelligent systems.
- 🌍 Based in Denmark, exploring the intersection of robotics and AI
- 💡 Currently building a machine learning system for chart pattern recognition
- 🤖 Background in ROS2 and autonomous systems
- 📚 Actively learning and applying ML & AI in practical domains like finance and robotics
I'm actively developing a machine learning project that identifies and models patterns in historical investment data. The goal is to create intelligent, data-driven insights to support smarter financial decision-making.
Project Highlights:
- 📊 Analyzing historical stock prices (OHLCV data)
- 🧠 Training classification and regression models to detect patterns
- 🛠️ Tools: Python, Scikit-learn, Pandas, Plotly, TensorFlow, Jupyter
- 📈 Visualizing trends, backtesting strategies, and forecasting signals
- ⚙️Time-series data processing, feature engineering, and model evaluation
- 🚀Goal: Build an intelligent assistant for smarter pattern recognition
💡 Interests:
Machine Learning, Time Series Analysis, AI for Finance, Autonomous Systems
- 🔄 Exploring robot path planning and navigation using ROS2 and Gazebo
- 🛠️ Forked and contributed to core ROS2 projects like
navigation2andlaunch_ros
Languages: Python, C++
ML Frameworks: Scikit-learn, TensorFlow, PyTorch
Data Tools: Pandas, NumPy, Jupyter, Matplotlib, Seaborn
Dev Tools: Git- 🚀 Deploy an AI-powered investment assistant (Streamlit or Flask app)
- 🤝 Collaborate on open-source ML/AI research or tools
- 🧪 Experiment with LSTMs & reinforcement learning for time series