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Assessing your cultural and operational fit
graphrag_neo4j
August 31, 2025 – September 3, 2025
graphrag implementation following essential graphrag by Tomaž Bratanic and Oskar Hane.
View Projectarsmedicatech-nanoservices
July 31, 2025 – Present
arsmedicatech-nanoservices — GitHub repository
View Projectarsmedicatech
November 9, 2024 – Present
This is a broad purpose web application for various kinds of clinical use cases. It has a Flask server, a React front end, SurrealDB for a multimodel database, LLM integration, MCP, RAG, OSCAR EMR integration, and much, much more.
View Projectautodidact
November 4, 2024 – Present
You are the teacher and the student. An LLM enriched learning platform for designing lesson plans for others or for yourself.
View ProjectCOMP-2800-Team-DTC-19-Groupceries
April 26, 2020 – May 23, 2020
COMP-2800-Team-DTC-19-Groupceries — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration, particularly in AI/ML (LLM, RAG, graphrag) and full-stack development. While the target role is 'Frontend Developer', many projects lean heavily into backend Python and AI. This indicates a broad interest but also a potential misalignment if the role is strictly frontend. The diversity of projects suggests adaptability and a proactive learning approach, which can be positive for cultural fit in an innovative environment, but the lack of team-based projects makes it hard to assess collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insight into communication style, work attitude, or collaboration potential.