Declan Javers
Computer Science Student at Northeastern University, Concentration in AI
About Me
I am a Computer Science student at Northeastern University (Class of 2026) with a concentration in Artificial Intelligence and a GPA of 3.3/4. My academic journey focuses on building intelligent systems, with graduate-level coursework in Foundations of AI, alongside Computer Systems, Object-Oriented Design, and Algorithms & Data Structures.
Beyond the classroom, I am deeply involved in the campus community. I served on the Executive Board of Delta Kappa Epsilon and am a member of the Northeastern University Sports Analytics Club.
When I'm not coding or studying, you can find me playing chess, hiking, cooking, or analyzing soccer statistics. I'm also passionate about community service and personal finance.
My Journey
Software Engineer Intern
Developing web features with TypeScript, resolving frontend bugs, and enhancing UI components in Washington, DC.
Web Content Coordinator
Led development of WordPress pages, automated content updates with Python, and conducted UX/UI research.
Executive Board
Vice President, VP of Health & Safety, and Secretary. Led strategic initiatives and risk management.
Computer Science Student
Bachelor of Science in Computer Science. Concentration in AI. GPA: 3.3/4.
Walt Whitman High School
Graduated with honors.
Skills
Featured Projects
Murder on Game Nite
Real-time multiplayer Werewolf-style game built with my SWE team. Solved asymmetric, time-phased gameplay on a turn-based engine by introducing an invisible server-host that pushes timer events through the same move pipeline as real players.
1# Predict transfer value from player stats2model = RandomForestRegressor()3prediction = model.predict(player_data)Soccer Player Valuation
Predictive ML model estimating European soccer players' transfer market values using Random Forest and XGBoost trained on real-world Kaggle data.
1// Modular design for Hex/Square boards2interface Board {3 void placePiece(Piece p);4}Reversi
Modular Java implementation of Reversi supporting both hexagonal and square boards, built on Decorator, Observer, and MVC design patterns, with a minimax-based AI opponent.