class Developer:
def __init__(self):
self.name = "p-karmelita"
self.role = "Python Developer & AI Enthusiast"
self.language_spoken = ["pl_PL", "en_US"]
self.code = ["Python", "HTML", "JavaScript"]
self.focus = ["AI Agents", "Data Science", "Web Development"]
self.hackathons = "Active Participant 🎯"
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together 🚀")
me = Developer()
me.say_hi()
╔══════════════════════════════════╗
║ 🤖 AI Agents Development ║
║ 📊 Data Science Projects ║
║ 🌐 Web Applications ║
║ 🎪 Hackathon Participation ║
╚══════════════════════════════════╝ |
|
|
Python Core Language |
Scikit-learn Machine Learning |
Pandas Data Analysis |
NumPy Scientific Computing |
|
FastAPI Modern API Framework |
Flask Web Development |
Django Full-Stack Framework |
|
Tech Stack: AI-powered multi-agent system for enterprise risk detection and workflow orchestration. Predicts customer churn with 89% accuracy, detects procurement risks, and triggers autonomous interventions across 13+ systems. 🎯 Key Features:
├─ Customer Success Agent
├─ Procurement Risk Agent
├─ Revenue Protection Agent
├─ Real-time Churn Prediction
└─ Voice-first Operations (STT/TTS)🏆 Hackathon Project | 🤖 Multi-Agent AI | 💼 Enterprise Solution |
Tech Stack: Intelligent healthcare platform leveraging Google Gemini's multimodal capabilities. Features real-time voice intake, AI-powered symptom analysis, and doctor recommendations with Google Maps integration. 🩺 Capabilities:
├─ Real-time Voice Intake (Gemini Live)
├─ AI Image Analysis
├─ Smart Specialty Recommendations
├─ Geolocation-based Doctor Search
└─ Multi-language Support (i18n)🌐 Healthcare AI | 🗣️ Voice-Enabled | 🎨 Modern UI/UX |
|
Tech Stack: Sophisticated car-sharing system focusing on efficient resource allocation and user management with optimization algorithms. 🔧 Features:
├─ Resource Management
├─ User Authentication
├─ Booking System
└─ Optimization Algorithms⭐ 2 Stars | 🍴 Collaborative Project |
Tech Stack: Real-time flight delay analysis and visualization dashboard for tracking aviation patterns and performance metrics. 📊 Capabilities:
├─ Data Visualization
├─ Statistical Analysis
├─ Interactive Dashboard
└─ Performance Metrics🌐 Interactive Dashboard | 📈 Data-Driven |
╔══════════════════════════════════════════════════════╗
║ ║
║ 🏆 Active Hackathon Participant ║
║ 💡 Building AI-Powered Solutions ║
║ 🚀 From Concept to Deployment ║
║ 🤝 Team Collaboration & Innovation ║
║ ║
╚══════════════════════════════════════════════════════╝
🤖 AI Agents • ⛓️ Blockchain • 💰 DeFi Solutions • 🌐 Web3 Integration
current_activities = {
"🔨 Building": [
"AI Agent Systems",
"Data Science Projects",
"Web Applications"
],
"📚 Learning": [
"Advanced ML Techniques",
"Blockchain Development",
"Cloud Architecture"
],
"🎯 Competing": [
"Hackathons",
"Coding Challenges",
"Open Source Contributions"
]
}
for category, activities in current_activities.items():
print(f"{category}: {', '.join(activities)}")
skills = {
"supervised": "⭐⭐⭐⭐⭐",
"unsupervised": "⭐⭐⭐⭐",
"deep_learning": "⭐⭐⭐⭐",
"nlp": "⭐⭐⭐"
} |
skills = {
"backend": "⭐⭐⭐⭐⭐",
"api_design": "⭐⭐⭐⭐⭐",
"frontend": "⭐⭐⭐",
"deployment": "⭐⭐⭐⭐"
} |
skills = {
"analysis": "⭐⭐⭐⭐⭐",
"visualization": "⭐⭐⭐⭐",
"statistics": "⭐⭐⭐⭐",
"big_data": "⭐⭐⭐"
} |
def connect_with_me():
platforms = {
"GitHub": "https://github.com/p-karmelita",
"Status": "🟢 Open for collaboration",
"Interests": ["AI", "Data Science", "Python", "Innovation"],
"Availability": "Open to exciting projects!"
}
return platforms
# Always happy to discuss new ideas and opportunities! 🚀
while coding:
learn()
build()
share()
repeat()
# "Innovation distinguishes between a leader and a follower" 🚀⚡ Fun Fact: I turn coffee into code and ideas into reality! ☕→💻