Alex Trbovic

PhD Student • Quantum Game Theory Researcher • Industrial Engineer

Technical Skills & Expertise

Hover over categories for proficiency levels

Programming Languages

Primary Languages: Python, C++, Java, JavaScript, MATLAB
Specialized Languages: LabVIEW, SQL, R, Shell/Bash Scripting
Markup & Styling: HTML5, CSS3, LaTeX, Markdown

Quantum Computing & Research

Doctoral Research: Dynamic Quantum Markov Games (DQMG), Adversarial Multi-Agent Coordination, Quantum Information Theory
Game Theory: Nonlocal Games, Nash Equilibrium Analysis, Quantum Strategy Spaces, Multi-Layer Game Architectures
Coordination Theory: Quantum Communication Protocols, Zero-Communication Correlation, Entanglement-Assisted Coordination, Multi-Agent Reinforcement Learning
Formal Methods: Equilibrium Existence & Uniqueness Proofs, Entropy-Based Order Parameters, Phase Transition Analysis, Markov Decision Processes
Quantum Frameworks: Qiskit, Cirq, PennyLane
Simulation Tools: Quantum Circuit Simulators, Noise Models, Quantum State Tomography

Machine Learning & Data Science

ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras
Data Processing: Pandas, NumPy, SciPy, Dask
Visualization: Matplotlib, Plotly, Seaborn, Dash, D3.js
Specialized ML: Computer Vision (CNNs), Time Series Analysis, Statistical Modeling

Software Engineering & Development

Web Technologies: React.js, Node.js, Express.js, RESTful APIs
Frameworks: Spring Boot, Flask, Django, SFML
Testing & Quality: JUnit, pytest, Selenium, Test-Driven Development

Database & Infrastructure

Databases: PostgreSQL, MySQL, Oracle DB, MongoDB
Cloud Platforms: AWS (EC2, S3, Lambda), Google Cloud Platform
DevOps & Tools: Docker, Git, Jira, Jenkins, Slurm (HPC)
Development Tools: VS Code, IntelliJ IDEA, Jupyter Notebooks, PGAdmin

Research & Analytics

Statistical Analysis: Hypothesis Testing, Regression Analysis, Bayesian Methods
Optimization: Linear Programming, Nonlinear Optimization, Metaheuristics
Scientific Computing: High-Performance Computing, Parallel Processing, Numerical Methods
Instrumentation: Spectroscopy Equipment, Data Acquisition Systems, Laboratory Automation

Professional Skills

Project Management: Agile Methodologies, Scrum, Cross-functional Team Leadership
Communication: Technical Writing, Academic Presentations, Scientific Publications
Collaboration: Interdisciplinary Research, Industry-Academia Partnerships, Mentoring

Certifications & Continuous Learning

I'm committed to staying current with rapidly evolving technologies, particularly in quantum computing and machine learning. I regularly participate in online courses, attend conferences, and engage with the research community to expand my knowledge and skills.

Current Learning Focus: Advanced Quantum Algorithms, Deep Reinforcement Learning, Quantum Error Correction
Professional Development: Conference Presentations, Peer Review, Open Source Contributions