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Tyhan Hasan

@tyhanhasan

Aspiring Machine Learning Engineer building ML applications, including NewsCortexAI, a news classifier with 91% accuracy.

Bangladesh

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What I'm looking for

I'm seeking ML/AI internships or entry-level roles where I can contribute to practical AI solutions and grow as an engineer.

At Auspify Technologies, I developed a content-based recommendation system for Netflix titles and worked on classification, clustering, and time-series forecasting. My forecasting model achieved an R² of 0.89 through walk-forward validation.

I built NewsCortexAI, an NLP news classification system that reached 91% test accuracy across 120K+ articles, with a FastAPI backend and Streamlit frontend. I’m currently a Machine Learning Intern at FlyRank, expanding my knowledge of AI concepts and production-oriented workflows while developing my skills in generative AI, LLM applications, and LangChain.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Intern

Current

FlyRank

Jan 2026 - Present (10 months)

Completed weekly assignments and research tasks focused on AI concepts and machine learning fundamentals. Participated in guided training and tutorials covering AI tools and production-oriented workflows.

Machine Learning AI Research Python

Machine Learning Intern

Auspify Technologies

Jan 2026 - Present (10 months)

Developed a content-based recommendation system using TF-IDF and cosine similarity for a Netflix catalog of 8,000+ titles. Built and evaluated classification models and applied K-Means clustering to identify content segments.

TF IDF Cosine Similarity Logistic Regression Decision Trees Random Forest K Means Time series Forecasting Python