
Mathematics student
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Pleias_Rag_Interface
April 16, 2025 – April 17, 2025
Pleias_Rag_Interface — GitHub repository
View Projectm-u-nee.github.io
February 18, 2025 – February 18, 2025
m-u-nee.github.io — GitHub repository
View Projectpdf_processing_pipeline
January 23, 2025 – January 23, 2025
pdf_processing_pipeline — GitHub repository
View Projecttokenization_eval
October 8, 2024 – October 8, 2024
tokenization_eval — GitHub repository
View ProjectSentiment-analysis
August 5, 2024 – April 25, 2025
Sentiment-analysis — GitHub repository
View ProjectLLM-practice
December 6, 2023 – December 26, 2023
Practice in understanding and coding LLMS from scratch, following https://karpathy.ai/zero-to-hero.html
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong self-driven learning approach, particularly in emerging AI/ML fields like LLMs. The diversity of projects, while mostly focused on Python and LLMs, also includes some web development (PHP, CSS, HTML, JavaScript), suggesting a broad technical curiosity. This self-starter attitude and continuous learning align well with a dynamic, research-oriented data science environment. However, the lack of team projects or professional experience makes it difficult to fully assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.