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Northeastern University
Data Scientist
June 21, 2026 – Present
How-to-Build-Optimal-AI-Agents-That-Actually-Work-Handbook
May 11, 2026 – Present
A practical, research-backed handbook for deciding when (and how) to build AI agent teams that actually ship
View ProjectThe-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations
December 31, 2025 – Present
A book on the mathematical foundations of AI from an engineering perspective.
View Projectpytrafficflow
October 10, 2025 – October 30, 2025
A Python library for traffic flow simulation with PDE models, particle-based models, and real-world data pipelines
View Project2025-ECE-NOVA_UNIVERSITY-real_time_systems-final-projects
August 10, 2025 – August 10, 2025
2025-ECE-NOVA_UNIVERSITY-real_time_systems-final-projects — repository
View Projectai-content-lab
August 3, 2025 – August 3, 2025
Multi-agent AI system for automated content creation and SEO optimization
View ProjectSymbolicAIHarvest
June 26, 2025 – June 26, 2025
SymbolicAIHarvest is a Symbolic AI Prolog intelligent agricultural network management system that optimizes farm operations, sensor monitoring, route planning, and supply chain logistics through rule-based reasoning and expert system capabilities.
View Projecteurostatify-ai
March 23, 2025 – March 23, 2025
AI-powered platform for generating question–answer pairs from Eurostat data using a fine-tuned T5 model.
View ProjectAI-Powered-Energy-Algorithmic-Trading-Integrating-Hidden-Markov-Models-with-Neural-Networks
August 5, 2024 – August 13, 2024
Full code of the article: AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural Networks
View ProjectFreeCodeCamp--Signal-Processing-and-Systems-in-Programming-Guide-for-Beginners
March 30, 2023 – Present
FreeCodeCamp--Signal-Processing-and-Systems-in-Programming-Guide-for-Beginners — repository
View Projectfreecodecamp-my-articles-source-code
March 6, 2022 – Present
This repository holds the code I use in my freecodecamo news articles.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in cutting-edge AI research and practical application, which aligns well with an innovative and technically driven culture. The diversity of projects, from theoretical foundations to real-world systems (e.g., 'SymbolicAIHarvest', 'AI-Powered-Energy-Algorithmic-Trading'), suggests adaptability and a broad intellectual curiosity. The current role as a Data Scientist at Northeastern University, although future-dated, indicates an academic and research-oriented background. However, the lack of team-based projects or explicit collaboration descriptions makes it challenging to fully assess cultural fit regarding teamwork and interpersonal dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, evidenced by numerous personal projects and contributions to FreeCodeCamp. The focus on mathematical foundations and practical applications indicates a methodical approach to problem-solving. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.