Every project here answers one question: what problem does this system reason about? From 400,000-record national databases to enterprise AI pipelines — built to perform.
A system built to solve a real-world problem.
E Commerce Intelligence Platform ECIP tackles a full-stack challenge that previously relied on manual or fragmented processes.
Built with Python as the core implementation language, structured for clarity and reuse.
Actively maintained — last updated Jul 2026.
A production-grade ML platform that scores financial transactions for fraud in real-time at <150ms p99 with full explainability, drift monitoring, and a 4-panel Streamlit dashboard.
A production-grade ML platform that scores financial transactions for fraud in real-time at <150ms p99 with full explainability, drift monitoring, and a 4-panel Streamlit dashboard.
Built with Python as the core implementation language, structured for clarity and reuse.
Actively maintained — last updated Jun 2026.
🔍 End-to-end Bangla fake news detector · XLM-RoBERTa · Macro-F1: 0.9361 · FastAPI · Chrome Extension · 13 BD news portals · Live on HuggingFace Spaces
🔍 End-to-end Bangla fake news detector · XLM-RoBERTa · Macro-F1: 0.9361 · FastAPI · Chrome Extension · 13 BD news portals · Live on HuggingFace Spaces
Built with Jupyter Notebook, applying bangla, bangladesh, deep-learning to deliver a maintainable, production-oriented solution.
Actively maintained — last updated May 2026.
Production-Grade Business Intelligence Platform
Production-Grade Business Intelligence Platform
Built with a modern stack as the core implementation language, structured for clarity and reuse.
Actively maintained — last updated May 2026.
An end-to-end production-grade Machine Learning system that identifies at-risk Telecom customers before they churn
An end-to-end production-grade Machine Learning system that identifies at-risk Telecom customers before they churn
Built with Jupyter Notebook as the core implementation language, structured for clarity and reuse.
Actively maintained — last updated Apr 2026.
A production-ready Fake News Detection system built using Deep Learning (BiLSTM) and deployed via a scalable API architecture. This project transforms an experimental Jupyter Notebook model into a real-world inference service with API integration and frontend compatibility.
A production-ready Fake News Detection system built using Deep Learning (BiLSTM) and deployed via a scalable API architecture. This project transforms an experimental Jupyter Notebook model into a real-world inference service with API integration and frontend compatibility.
Built with Jupyter Notebook as the core implementation language, structured for clarity and reuse.
Actively maintained — last updated Apr 2026.
Falcon 9 Landing Success Prediction
Falcon 9 Landing Success Prediction
Built with Jupyter Notebook as the core implementation language, structured for clarity and reuse.
Actively maintained — last updated Mar 2026.
