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Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Pair Extraordinaire

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Danielkis97/README.md
DANIEL aka R00t: Applied & Generative AI, Automation, Web, Software, Data. Synthwave banner with a glitching name and typed role ticker.

neofetch card for R00t@Danielkis97: Human v1.0 in Germany, full-time job plus part-time Applied AI studies, Python, TypeScript and Solidity, focus on GenAI, automation, web, data and software

$ cat about.md

Full-time job by day. Applied AI student by night. Builder in between.

I turn ideas into things that actually run: LLM-powered tools, automations that kill busywork, bots, websites & web apps, and data pipelines that answer real questions. Notebook → API → product, no stopping halfway.

+ shipped           > perfect
+ working systems   > slide decks
+ real users        > toy datasets
- "we should build that someday"

Animated terminal: whoami prints Daniel, GenAI, Automation, Web, Software, Data, then trains an idea into a shipped product next to a neural network

$ ls ~/stack

AI · MLPython PyTorch TensorFlow Keras scikit-learn Hugging Face OpenCV MLflow Jupyter Google Colab
GenAI · LLMsClaude OpenAI Gemini LangChain LlamaIndex Ollama MCP RAG AI Agents Prompt Engineering GitHub Copilot
Data · AnalyticsSQL PostgreSQL MySQL MongoDB Pandas NumPy Polars Plotly Power BI Excel Apache Spark Databricks
Web · SoftwareTypeScript JavaScript React Next.js Node.js FastAPI Flask Streamlit Tailwind CSS HTML5 CSS GraphQL Java Solidity
Cloud · DevOpsAWS Google Cloud Azure Docker Kubernetes Terraform GitHub Actions Linux Vercel Supabase Firebase Redis Git
Automationn8n Zapier Make Selenium Playwright REST APIs Webhooks Bots

$ ls ~/projects

IoT Anomaly Detection: IsolationForest behind a Flask API, Dockerized Age, Gender and Emotion Recognition running fully local on the edge

Video Object Detection: YOLOv8 vs Faster R-CNN vs SSD Sentiment Analysis of Movie Reviews with Naive Bayes

Terraform AWS Infrastructure: VPC, subnets, ELB, auto scaling EC2 Superspeed Seeds: Racing Royale, a 100-level racing game

Habit Tracker app with streak analytics Classified stealth project, reveal soon

what I actually work on (long version)
  • Generative AI & LLMs: LLM workflows, agents and prompt pipelines that do real work instead of demos.
  • Automation & bots: API integrations, rule-based and data-driven automation, trading bots, workflow systems.
  • Web & software: websites, frontends and full apps with TypeScript and React, MVPs from idea to launch.
  • Data analysis & ML: data prep, evaluation pipelines, classic ML, deep learning and the system around the model.
  • Computer vision & NLP: face and emotion recognition, person detection, sentiment and text classification.
  • Cloud & deployment: AWS, Google Cloud, Terraform, Docker; getting things out of the notebook and into production.
  • Product & brand: positioning, MVP thinking and turning technical work into something people want to use.

$ git log --stats

GitHub stats: contributions, streaks, repositories and top languages, with a snake eating the contribution heatmap, regenerated daily

$ thanks for scrolling. now go build something.

visitors

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