I'm a passionate AI Engineer and Machine Learning Researcher with dual Master's degrees who transforms complex data into intelligent solutions. As the Founder and Chief Technology Officer of Enlightir, I lead cutting-edge projects in AI, machine learning, and full-stack development.
- 🎓 MSc Production Engineering - Optimizing systems and processes
- 🧠 MSc Machine Learning - Deep expertise in AI and ML algorithms
- 🚀 Founder of Enlightir - Building tomorrow's intelligent solutions
- 🔬 Research Focus - Advanced ML models, AI agents, and data-driven insights
- 💡 Mission - Bridging the gap between academic research and real-world applications
- 🤖 Building Agentic AI Systems that think and act autonomously
- 📊 Developing Production-Grade ML Models for enterprise clients
- 🌐 Creating Scalable Web Applications with modern frameworks
- 📱 Crafting Mobile Solutions using cutting-edge technologies
- 🎯 Leading Enlightir's Technical Vision and product development
Agentic AI system that makes autonomous trading decisions using reinforcement learning
# Core ML pipeline for market prediction
class TradingAgent:
def __init__(self):
self.model = self.build_lstm_transformer()
self.risk_manager = RiskAssessment()
def predict_and_execute(self, market_data):
prediction = self.model.predict(market_data)
if self.risk_manager.validate(prediction):
return self.execute_trade(prediction)Tech Stack: Python, TensorFlow, Reinforcement Learning, FastAPI, PostgreSQL
Impact: 23% improvement in trading accuracy, $2M+ in managed assets
Full-stack analytics platform with real-time dashboards and ML-powered insights
Tech Stack: Nuxt.js, Vue.js, Python, PostgreSQL, Docker
Features:
- Real-time data visualization with D3.js
- Predictive analytics using ensemble methods
- Automated report generation
- RESTful API with JWT authentication
Impact: Deployed across 15+ enterprises, 40% faster decision-making
ML system optimizing production processes using my Production Engineering background
Tech Stack: Python, Scikit-learn, Pandas, Kotlin (mobile app)
Achievements:
- 18% reduction in production waste
- 25% improvement in efficiency metrics
- Real-time monitoring via Android app
Scalable platform connecting businesses with AI solutions
Tech Stack: Nuxt.js, Node.js, MongoDB, Docker, AWS
Features:
- Microservices architecture
- AI model deployment pipeline
- Client dashboard and project management
- Automated billing and analytics
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Systems Optimization • Process Engineering • Quality Control |
Deep Learning • Neural Networks • AI Research |
Certifications:
- 🏆 AWS Certified Machine Learning Specialist
- 🎯 TensorFlow Developer Certificate
- 📊 Google Data Analytics Professional
- 🚀 Certified Kubernetes Application Developer
- Built and scaled an AI-first technology company
- Led development of 50+ ML models in production
- Managed team of 12+ engineers and data scientists
- Generated $ 1.5 M+ in annual recurring revenue
- Developed production ML pipelines processing 10 M+ data points daily
- Implemented MLOps practices, reducing deployment time by 60%
- Mentored junior engineers and conducted technical interviews
- 📄 "Adaptive Learning Systems in Production Environments" - International Journal of ML Applications
- 🎤 Keynote Speaker - AI in Manufacturing Conference 2023
- 📚 "Optimizing Neural Networks for Edge Deployment" - Research Gate
- 🎓 Guest Lecturer - Machine Learning Bootcamps
- 🏆 AI Innovation Award 2023 - For revolutionary agentic AI platform
- 🚀 Emerging Entrepreneur Award - Recognition for Enlightir's growth
- 📊 50+ Successful ML Deployments - In production environments
- 🌍 15+ Countries - Where my solutions are actively used
"The intersection of Production Engineering and Machine Learning is where true innovation happens. Understanding both the theoretical foundations and practical constraints allows us to build AI systems that don't just work in labs, but thrive in the real world."
Python ████████████████████████░ 85.2%
JavaScript ████████████░░░░░░░░░░░░░ 45.8%
Vue/Nuxt ████████░░░░░░░░░░░░░░░░░ 32.4%
Kotlin ██████░░░░░░░░░░░░░░░░░░░ 24.1%
SQL █████░░░░░░░░░░░░░░░░░░░░ 18.7%