CV

Contact Information

Name Arthem Faerovitch
Professional Title Computer Science Student
Email faerovitcha@gmail.com

Professional Summary

Computer Science senior at Duquesne University graduating in December 2026, with hands-on experience in software engineering and machine learning. Combining strong statistical reasoning with practical development skills, demonstrated by co-building DuqSchut, a community tutor scheduling service. Eager to leverage problem-solving abilities and a passion for data-driven applications in a full-time Software Engineer role.

Education

  • 2023 - 2026

    Pittsburgh, PA

    B.S.
    Duquesnse University
    Computer Science

Experience

  • July 2024 - Present

    Pittsburgh, PA

    Website Developer
    Owl's Nest Restaurant
    Developed and currently maintain a local restaurant’s website, overseeing design, implementation, and upkeep to enhance business visibility and customer access.
  • Sep 2025 - May 2026

    Pittsburgh, PA

    Computer Science Tutor
    Duquesne University
    Supported Duquesne University computer science students through one-on-one and small-group tutoring in programming, debugging, and core CS concepts, helping reinforce problem-solving skills and build confidence with coursework.

Leadership Experience

  • Jan 2025 - Present

    Pittsburgh, PA

    Vice President, Computer Science Club
    Duquesne University
    Co-founded and serve as Vice President of the Computer Science Club at Duquesne University, shaping organizational strategy, event planning, and member engagement activities.

Projects

  • Sudoku Solver

    Engineered a modular Java-based CSP solver utilizing AC-3 inference and advanced search heuristics (MRV, LCV) to solve complex Sudoku variants; built an automated JUnit pipeline to benchmark algorithmic efficiency and ensure code robustness.

    • Artificial Intelligence & Algorithm Design
    • Performance Engineering & Benchmarking
    • Test-Driven Development
  • Pokemon Card Classifier

    Engineered a computer vision pipeline using YOLOv8 and Python to classify Pokemon card images, achieving high-accuracy inference on eBay listing images. Designed and implemented a web scraping pipeline to collect, preprocess, and label a custom training dataset for scalable data acquisition and improved model generalization.

    • Computer Vision and Object Detection
    • Data Collection and Preprocessing
    • Model Training and Evaluation
  • DuqSchut Tutor Scheduling

    Collaborated in a 25-member Agile development team to build a full-stack tutor scheduling platform using .NET, Blazor, and Azure, delivering scalable CRUD functionality across front-end and back-end systems. Developed and maintained features using C#, Razor/HTML, and MVC architecture, applying SOLID design principles to ensure modularity, maintainability, and clean code practices.

    • Full-Stack Development
    • Agile Team Collaboration
    • MVC Architecture and SOLID Design

Skills

Programming Languages: Java, C#, Python, C, C++, JavaScript, TypeScript
Tools: .NET, Blazor, PyTorch, Keras, Node.js, Azure, Git, Linux
Software Engineering: Agile, Scrum, MVC Architecture, SOLID Principles, CRUD Development, Design Patterns
Machine Learning: Object Detection, Classification, Data Processing, Model Training & Evaluation

Languages

English : Native speaker
Russian : Fluent