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smolLM-finetuning
November 29, 2025 – November 30, 2025
smolLM-finetuning — GitHub repository
View Projectsmall-language-models
November 29, 2025 – November 29, 2025
small-language-models — GitHub repository
View Projectml-django-challenge
November 21, 2025 – November 21, 2025
ml-django-challenge — GitHub repository
View Projectrecommendation-simulation
October 5, 2025 – October 5, 2025
twitter's rec engine like functional engine
View Projectdocument-classification
September 7, 2024 – September 7, 2024
Developed a document classification system using Logistic Regression, KNN, and Neural Networks, achieving 92% accuracy on the 20 Newsgroups dataset. Improved accuracy by 15% through advanced preprocessing techniques and deployed a Streamlit-based tool for 50% faster classification of PDFs, DOCX, and TXT files.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong interest in machine learning, data science, and full-stack development, with a focus on personal projects. This indicates a self-starter who is passionate about building and experimenting. The diversity of projects, from ML models to web applications, suggests adaptability and a broad technical curiosity. The alignment with a 'Software Engineer' role is good, especially for positions involving Python, ML, or full-stack development. The candidate appears to be a builder and an innovator, which could be a strong cultural fit for a dynamic, tech-driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new technologies. The 'document-classification' project shows an ability to identify problems, implement solutions, and measure improvements. However, without psychometric or English test scores, it is difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration directly.