Customer Churn Prediction
End-to-end pipeline predicting at-risk customers, with explainable feature importance for the business team.
I design and ship machine learning systems — from the first notebook to reliable, monitored production.
End-to-end capability across the machine learning lifecycle — from raw data to deployed, monitored models.
Supervised and unsupervised modeling, feature engineering, model selection, and honest, leak-free evaluation.
CNNs, transformers, and transfer learning with PyTorch and TensorFlow for vision and sequence tasks.
Text classification, embeddings, retrieval-augmented generation (RAG), and prompt engineering.
Robust data pipelines, ETL, and SQL so models always train on trustworthy, well-shaped inputs.
Packaging models into APIs, deployment, versioning, and monitoring for drift in production.
Exploratory analysis, dashboards, and turning numbers into stories that drive real decisions.
I'm Haseeb — an AI engineer and data scientist who enjoys the full arc of a problem: framing the right question, wrangling the data, training the model, and shipping something people actually use.
My work spans machine learning, deep learning, and natural language processing, with a practical focus on getting models out of the notebook and into reliable production systems.
I care about clean data, honest evaluation, and results that hold up outside the test set.
End-to-end pipeline predicting at-risk customers, with explainable feature importance for the business team.
A retrieval-augmented chatbot that answers questions over private documents with cited sources.
Time-series forecasting with an interactive dashboard so stakeholders can plan inventory confidently.
I'm open to roles, collaborations, and freelance projects in AI and data science. Tell me what you're working on.