Hamayl Zahid

AI Engineer | ML Researcher | IBM, Harvard, Stanford Certified

"Building cognitive AI that thinks beyond code."
Hamayl Zahid Avatar

About Me


I'm Hamayl Zahid — an AI Engineer with a sharp mind for innovation and a grounded sense of purpose. Currently pursuing a Bachelor's in Artificial Intelligence from Pakistan, I’ve already built systems that demonstrate not only technical fluency but real-world impact.

My strengths lie in Machine Learning, Natural Language Processing, Reinforcement Learning, and intuitive AI dashboards. I don’t just follow the latest in AI. I create solutions that are explainable, ethical, and forward-looking.

From detecting algorithmic bias to predicting planetary habitability, I push boundaries while ensuring clarity and usability. If you're seeking someone who brings both engineering discipline and visionary problem-solving ,
I’m exactly who you’re looking for.

⚙️ Technical Skills

🧠 Machine Learning / AI

TensorFlow PyTorch Keras Scikit-learn YOLO RNNs

💻 Programming Languages

Python JavaScript HTML CSS

🧰 Tools & Libraries

NumPy Pandas Matplotlib Seaborn Streamlit Flask

🚀 Deployment & AI Tools

Google Colab FastAPI Chatbase

🎨 Design & IDEs

Figma VS Code PyCharm

Projects

AnimaCore HumanOS

AnimaCore – HumanOS

Neuro-symbolic AI OS simulating human cognition & emotion.

View on GitHub

Project Overview


Simulates human-like decision-making using emotion-aware transformers. Integrates symbolic reasoning with adaptive neural processing for advanced cognition.

PyTorch Transformers NLP HuggingFace
View on GitHub
Bias Evaluation

Bias Evaluation in AI Models

Streamlit app to detect, visualize, and mitigate gender bias in NLP datasets.

Live Demo

Project Overview


This project uses Fairlearn to detect and mitigate bias in a logistic regression model trained on the UCI Adult dataset. It demonstrates ethical trade-offs, explores demographic parity, and provides an interactive Streamlit dashboard.




Python Pandas Streamlit
Exoplanet Predictor

Exoplanet Habitability Predictor

ML-powered tool analyzing NASA datasets to classify and assess exoplanet habitability.

Live Demo

Project Overview


This project uses machine learning to predict the habitability of exoplanets by analyzing features like mass, orbit, star type, and discovery method from real astronomical data.



Scikit-learn Python Matplotlib Pandas

BERT NER Visualized

BERT NER Visualized

BERT-powered NER system with visualized predictions and real-time evaluation metrics.

View GitHub

Tech Stack

BERT Transformers Matplotlib Seaborn

Focused on enhancing NLP interpretability using deep learning and visual insights.

E-commerce Frontend

Modern E-commerce UI Design

Sleek, responsive UI template with advanced UX flows and interactivity.

Live Demo

Tech Stack

HTML CSS JavaScript

A fully responsive e-commerce layout designed for smooth customer experience and modern aesthetics.

GitHub

GitHub Stats

GitHub Stats

Certifications

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Let's build something amazing together — reach out for collaborations, questions, or just to say hi!

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