Where curiosity meets strategic impact
I build intelligent ML solutions and AI applications from data preprocessing to training scalable models and deploying production systems. I specialize in creating interpretable, efficient models that drive measurable business outcomes through innovation and technical excellence.
Python
TensorFlow
Docker
MongoDB
scikit-learn
FastAPI
Flask
HTML
CSS
Git
GCP
OpenAI
LangChain
Ollama
Gemini
Supabase
MySQL
Azure
Heroku
Linux
Cloudflare
GitHub
Postman
Docling
Pydantic
To become a world-class ML|AI Engineer, building intelligent systems that solve real-world challenges, while advancing ethical AI practices and fostering innovation across industries.
Building ML/AI systems that drive measurable impact and solve critical business problems
Mastering scalable architectures, optimization, and production-grade system design
Ensuring AI solutions are ethical, transparent, and beneficial to society
Creating production-ready AI systems that combine research insights with practical engineering excellence.
Architecting robust, scalable ML systems designed for performance, reliability, and seamless deployment.
Translating AI capabilities into measurable business value and transformative outcomes for organizations.
Advancing from technical implementation to strategic AI/ML engineering with consistent focus on delivering measurable business value
Software Development Office | Cyprus International University
Worked on a diverse range of data projects, from chatbot RAG system to Attendance QR code system.
Software Development Office | Cyprus International University
Worked on a team of software developers to create a chatbot for the University . Learned to work with messy data and deliver insights under tight deadlines.
Data-driven decision making with a focus on scalability, reliability, and measurable impact
My systematic approach to building ML/AI solutions that deliver quantifiable business value while maintaining technical excellence and ethical standards.
Understand business challenges and define clear success metrics with stakeholders
Build robust ML models with rigorous testing, validation, and optimization
Generate actionable insights and deploy scalable production systems
Evaluate results, measure impact, and identify opportunities for improvement
Present insights through compelling data stories
Implement solutions and measure lasting impact
Every dataset has a story to tell. My role is to uncover that narrative and present it in ways that inspire action and drive results.
The best insights emerge from diverse perspectives. I believe in building bridges between technical and business teams.
Sophisticated models are meaningless without business impact. I focus on solutions that create measurable value.
Advanced technical education combined with industry-recognized certifications in ML|AI engineering and modern development practices
WorldQuant University • Jun 2025 – Aug 2025
Immersive, hands-on program solving real-world data problems: data wrangling, statistical modeling, visualization, and end‑to‑end deployment of data‑driven solutions.
Cyprus International University • Feb 2023 – Jan 2027
Building strong foundations in data science, software engineering, statistics, and machine learning. Focus on applied projects and real‑world problem solving.
Professional certifications and continuous learning achievements from leading technology platforms
Completed 8 data science projects using Python and machine learning, focusing on data cleaning, modeling, and visualization for real-world problems.
Advanced training in Python, statistics, machine learning, and data visualization, including a capstone project focused on business analysis and prediction.
Training in Python, SQL, data analysis, machine learning, and visualization through hands-on projects.
Certification validating core skills in Python, data manipulation, visualization, statistics, and machine learning fundamentals.
Practical training in Python for data analysis, visualization, and machine learning, with hands-on projects using Pandas, NumPy, Matplotlib, and Scikit-learn.
Expert-level knowledge in Retrieval-Augmented Generation (RAG) systems, agentic AI frameworks, prompt engineering, and building intelligent agents with advanced LLM capabilities for enterprise solutions.
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