π Senior at Brooklyn College, majoring in Computer Science
π Aspiring Software / Machine Learning Engineer
Iβm a Computer Science student and emerging SWE/ML Engineer passionate about Artificial Intelligence, Machine Learning, and Software Development. I love creating impactful applications that solve real-world problems and provide meaningful user experiences.
- π± Currently building AI-powered tools, web applications, and ML models to tackle real-world problems
- πΌ Open to internships in Software Engineering, AI/ML
- π Continuously improving my DSA, full-stack development, and ML skills
- β¨ Dedicated to writing clean, scalable, and well-documented code
π« Reach Me At: LinkedIn: https://www.linkedin.com/in/husnain-kh
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Overview: Applied machine learning to predict Airbnb listing prices in New York City, following the full ML lifecycle.
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Tech Stack: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Jupyter Notebook
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Highlights:
- Complete end-to-end regression pipeline for real-world price prediction
- Built and evaluated Linear Regression and Tuned Random Forest models
- Achieved ~17% improvement in RMSE using Random Forest over baseline
- Identified top features influencing price like
accommodates
,bathrooms
, androom_type
- Visualized residuals, actual vs predicted prices, and feature importances
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Overview: A tool that generates custom AI-powered flashcards to help students learn faster and smarter.
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Tech Stack: Next.js, Tailwind CSS, Firebase, OpenAI API, Material UI, Clerk, Stripe
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Highlights:
- Generate personalized flashcards from any topic or document
- Supports a premium version (PromptWise Plus) for advanced features
- Clean, responsive UI with modern animations
- Firebase-based authentication and data storage
3. Ayah For You
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Overview: Your personal companion for discovering Quranic guidance tailored to your heartβs needs.
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How It Works:
- Select how youβre feeling, joyful, anxious, grateful, or seeking guidance
- Receive carefully selected verses that speak directly to your current state
- Experience peace and tranquility through divine guidance
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Tech Stack: Next.js, Tailwind CSS, React
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Highlights:
- Emotion-based Quranic recommendations
- Interactive user-friendly interface
- Mobile-ready design for spiritual guidance on the go
Feel free to reach out β Iβm always open to collaborating, learning, and building cool stuff! π