Building intelligent solutions with data, AI and modern technologies.
Currently exploring and building projects around:
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π€ Artificial Intelligence
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π§ Machine Learning
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π Data Engineering
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π Python & TensorFlow
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π APIs & AI integrations
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π Open Source
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Building an AI system to detect abnormal traffic patterns using real-world data. Python Β· TensorFlow Β· APIs Β· Data Engineering |
Exploring AI systems capable of interacting with external tools, APIs and data. AI Β· MCP Β· Python Β· APIs Β· LLMs |
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| Project | Description | Technologies |
|---|---|---|
| π¦ Traffic Anomaly Detection | AI system for detecting abnormal traffic patterns using real-world data. | Python Β· TensorFlow Β· Data Engineering |
| π€ AI & MCP | Experiments and applications connecting AI with external tools, APIs and data. | AI Β· MCP Β· Python Β· APIs |
I believe technology is most valuable when it solves real problems.
My approach is based on:
| π Understand | ποΈ Build | π§ͺ Validate | π Improve |
|---|---|---|---|
| Understand the problem | Design the solution | Measure the results | Continuously improve |
- π€ Build practical AI solutions
- π Transform data into useful insights
- π§ Apply Machine Learning to real-world problems
- π Connect AI with APIs, tools and data
- π Build and contribute to Open Source
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Artificial Intelligence AI Systems |
Machine Learning TensorFlow |
Data Engineering Data Pipelines |
Open Source GitHub |
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π Problem Understand |
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π‘ Data Collect |
β |
βοΈ Engineering Process |
β |
π§ AI / ML Learn |
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π Solution Build |
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π Impact Measure |
Data β Intelligence β Engineering β Impact