[10:12:24]AI Student & Quantitative Analyst specializing in Trading Intelligence Systems
> ABOUT_ME
[10:12:24]this is your portfolio and it is ending one tick at a time
profile.json
{
"name": "Aadi",
"status": "seeking opportunities: Intern/ working student, bachelor thesis",
"role": "AI Engineer / Applied Machine Learning Engineer / Quantitative Analyst",
"location": "Deggendorf, Germany",
"education": "BSc. Artificial Intelligence, THD Deggendorf",
"interests": [
"AI/ML",
"Quantitative Finance",
"Trading Systems",
"Market Analysis"
"Algorithmic Trading",
"Time Series",
],
"bio": "Fusing Artificial Intelligence with deep quantitative analysis to architect high tech financial intelligent systems and algorithmic strategies. I build data-driven platforms to decode financial market dynamics and unlock opportunities, informed by hands-on experience analyzing and trading assets including Crypto and Index derivatives."
}
> SKILLS_
Python>_
SQL>_
JavaScript>_
TypeScript>_
HTML/CSS>_
PyTorch>_
Scikit-learn>_
TensorFlow>_
XGBoost>_
LSTM/RNN>_
Transformers>_
Computer Vision>_
NLP>_
Time Series Analysis>_
Predictive Modeling>_
Model Optimization>_
Anomaly Detection>_
Trend Analysis>_
Seasonality Analysis>_
AI Agents Development>_
Multi-Agent Systems>_
Agent Orchestration>_
Autonomous AI Systems>_
Model Context Protocol (MCP)>_
Agent-to-Agent Communication>_
Conversational AI>_
LLM Integration>_
Prompt Engineering>_
AI Workflow Automation>_
Pandas>_
NumPy>_
SciPy>_
PySpark>_
Matplotlib>_
Seaborn>_
Data Visualization>_
ETL Pipelines>_
Feature Engineering>_
Data Cleaning>_
Statistical Analysis>_
Exploratory Data Analysis>_
Data Transformation>_
Data Integration>_
Context-Aware Data Processing>_
Real-time Data Streaming>_
Next.js>_
React>_
Tailwind CSS>_
FastAPI>_
Docker>_
Git>_
AWS>_
CI/CD>_
Microservices>_
RESTful APIs>_
Serverless Architecture>_
Version Control>_
Cloud Deployment>_
Azure AI Services>_
Agent Deployment>_
API Integration>_
WebSocket Communication>_
Event-Driven Architecture>_
pandas_datareader>_
yfinance>_
QuantLib>_
Zipline>_
vectorbt>_
pandas-ta>_
TA-Lib>_
Backtesting>_
Risk Modeling>_
Portfolio Optimization>_
Alpha Generation>_
Market Microstructure>_
Volatility Analysis>_
Correlation Analysis>_
Algorithmic Trading Agents>_
Financial Data Agents>_
Price Action Analysis>_
Market Structure Analysis>_
Liquidity Analysis>_
Order Flow Analysis>_
Volume Profile Analysis>_
Multi-timeframe Analysis>_
Intermarket Analysis>_
Cyclical Analysis>_
Support/Resistance Identification>_
Pattern Recognition>_
Breakout Detection>_
Momentum Analysis>_
Sentiment Analysis>_
Intelligent Agent Design>_
Context Protocol Implementation>_
Agent Behavior Modeling>_
Multi-Modal AI Integration>_
VS Code>_
Jupyter Notebook>_
PyCharm>_
Google Colab>_
Git/GitHub>_
Linux/Bash>_
PowerBI>_
Docker Containers>_
Kubernetes>_
CI/CD Pipelines>_
Cloud Platforms>_
Database Management>_
Azure AI Studio>_
Hugging Face Hub>_
OpenAI API>_
Agent Development Frameworks>_
MCP Servers>_
Context Management Tools>_
Analytical Thinking>_
Problem Solving>_
Financial Analysis>_
Data-Driven Decision Making>_
Market Research>_
Adaptability>_
Attention to Detail>_
Strategic Planning>_
English (C1)>_
German (A1)>_
Project Management>_
Technical Documentation>_
Research Methodology>_
AI Ethics & Governance>_
Cross-functional Collaboration>_
Innovation Management>_
$ Skills are continuously being upgraded and optimized...
> SKILL RADAR
CURRENT FOCUS
AI Agents & MCP
Deep Reinforcement Learning
Market Microstructure
> PROJECTS_
AURUM VISION
[ANALYSIS ENGINE ONLINE]A unified, data-driven platform for dissecting gold's complex price dynamics across multiple timeframes and quantifying its interconnectedness with critical macro factors.
PythonMachine LearningData AnalysisStreamlitFinancial Markets
CINEMATIC INSIGHTS
[PROJECT COMPLETED]A movie recommender system built from scratch using collaborative filtering to provide personalized suggestions based on user ratings patterns.
PythonMachine LearningRecommendation Systems+1
Table Tennis Game Analysis
[COMPLETED]Developed an OpenCV-based tool for automated table tennis scoring and player movement analysis using computer vision techniques.
Computer VisionOpenCVVideo Analysis+2
Concrete Strength Prediction
[COMPLETED]Enhanced a Random Forest model for concrete strength prediction using machine learning techniques, feature engineering, and recursive feature elimination.
Machine LearningRandom ForestFeature Engineering+3
> CONTACT_ME
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Send a Message
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