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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
rag-kura
March 30, 2026 – Present
A local-first RAG knowledge assistant powered by FastAPI and Ollama, featuring dynamic model routing and ChromaDB integration.
View ProjectlogHive
February 15, 2026 – Present
A lightweight, distributed log monitoring dashboard built with Python and Docker.
View Projectleetcode
July 28, 2025 – November 17, 2025
Study algorithm (This repository contains solutions to LeetCode problems. )
View ProjectQrcode_Cursor
December 27, 2024 – December 28, 2024
Chrome extension that generates QR codes with website logos.
View ProjectC2-Matching-1.7.0
July 4, 2022 – September 21, 2022
Implement in Test (pre-train) and Train (self-train) (change from yumingj / C2-Matching)
View ProjectDeFiAN-Pytorch-1.7.0
March 3, 2022 – March 13, 2022
Sucess use pre-train model in Test (change from YuanfeiHuang / DeFiAN)
View ProjectSeaNet-Pytorch-1.7.0
February 11, 2022 – February 17, 2022
SeaNet-Pytorch-1.7.0 [error dataloader] (change from MIVRC/SeaNet-PyTorch)
View ProjectSeaNet-Pytorch-1.0.0
February 11, 2022 – February 13, 2022
SeaNet-Pytorch-1.0.0 (change from MIVRC/SeaNet-PyTorch)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration, particularly in AI/ML and competitive programming. This self-driven approach could be a good cultural fit for an innovative and research-oriented team. However, the lack of team projects or professional experience makes it difficult to assess collaboration or adaptability within a structured organizational culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.