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Machine Learning Engineer @ Arthur AI
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Assessing your cultural and operational fit
DL-Video-Game-Recommendation
April 9, 2025 – April 15, 2025
A cloud-based video game recommendation system using deep learning, ML, and naive approaches to suggest personalized gaming experiences. This full-stack AWS-hosted application features a responsive React frontend, WebSocket-based real-time recommendations, and intelligent backend processing to help gamers discover their next favorite games.
View ProjectAgentic-Chatbot
April 2, 2025 – April 16, 2025
An agentic chatbot powered by Retrieval-Augmented Generation (RAG), web scraping, and API integration. The chatbot is designed to assist users with questions specifically related to Duke University, focusing primarily on information about available classes and academic offerings.
View Projectlegal-bert
March 17, 2025 – March 18, 2025
fine-tuned BERT model for predicting legislative bill categories
View ProjectMediSeek
February 19, 2025 – March 21, 2025
An intelligent health chatbot application powered by an LSTM and a Fine-tuned Deep Seek model. Designed to assist users with personalized health guidance, symptom checking, and wellness support through natural language conversations.
View Projectaipi510-fall24
July 9, 2024 – December 6, 2024
This is the accompanying GitHub repository to the Fall 2024 section of AIPI 510 in the Duke Masters of Engineering in Artificial Intelligence
View ProjectLunarLanderProject
January 9, 2024 – January 10, 2024
Deep Q-Learning model for an AI lunar lander
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in cutting-edge AI/ML technologies and a willingness to explore diverse applications. The projects are primarily personal, indicating self-motivation and initiative. However, without information on collaborative projects or work experience, assessing team collaboration and broader cultural fit is limited. The candidate's experience level is listed as 0, which might indicate a recent graduate or someone transitioning, potentially requiring mentorship in a team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying various AI/ML techniques.