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SW Programmer - Frontend, Machine Learning, else
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
vla-study
June 12, 2026 – Present
A focused collection of papers for studying vision-language-action models
View Projectlong-horizon-papers
June 11, 2026 – Present
2026 papers on long-horizon tasks: LLM agents, VLM planning, VLA manipulation
View Projectpokeminal
June 10, 2026 – Present
A Pokémon adventure that runs entirely in your terminal — pure Python, no dependencies
View Projectllvm-afl-Project
October 22, 2022 – October 26, 2023
snu_ : llvm-afl fuzzer binary instrumentation improvement (2021) // Project code to improve binary instrumentation of fuzzer - in the case that fuzzer meets magic byte
View ProjectCultural Fit Analysis
The candidate's personal projects show a diverse range of interests, from low-level systems (llvm-afl-Project) to web technologies (acensia.github.io) and AI/ML research (clip-study, vla-study). This breadth suggests adaptability and a curious mindset. However, the projects are predominantly personal and lack explicit team collaboration or production environment experience, which is crucial for cultural fit in a professional setting. The target role is 'Frontend Developer', and while 'acensia.github.io' uses HTML/CSS, the overall project portfolio is not strongly aligned with frontend development best practices or modern frameworks.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.