I am a 3rd-year B.Sc. in Information Technology student at the Institute of Information Technology (IIT), Jahangirnagar University (52nd Batch), maintaining a CGPA of 3.82 through my 4th semester. My work sits at the intersection of machine learning, deep learning, and biomedical signal processing — I like building systems that go beyond notebooks and into deployed, end-to-end products.
My flagship project, HealthBridge, is a full-stack clinical intelligence platform combining IoT-based ECG acquisition with a deep learning ensemble for cardiac classification, currently live at ecg-iit-ju-shaon.xyz. I've also built a deep learning ensemble for paddy disease detection trained on ~49,000 images, and I placed as a Top 100 Finalist at the Infinity AI BuildFest 2026 hackathon at BRAC University.
I'm an active competitive programmer (300+ problems on Codeforces, 100+ on LeetCode) and I'm currently deepening my ML/AI foundations through Phitron's AI/ML Engineering course. I'm looking for opportunities — particularly internships — where I can apply and grow these skills in a real engineering team.
- Institute of Information Technology (IIT), Jahangirnagar University, Savar, Dhaka, Bangladesh
- LinkedIn: md-shaon-khan
| Project | Description | Tech Stack |
|---|---|---|
| HealthBridge | Full-stack clinical intelligence platform with IoT-based ECG acquisition (Arduino UNO + AD8232 at 360 Hz), a deep learning ensemble (ResNet1D, InceptionTime, DenseNet121) for 8-class cardiac classification, disease prediction, a patient-doctor dashboard, and an integrated medical chatbot. Deployed at ecg-iit-ju-shaon.xyz | Python TensorFlow FastAPI Arduino IoT |
| Farmer's Friend (কৃষক বন্ধু) | Paddy disease classifier using a deep learning ensemble (EfficientNetB0, ResNet50, DenseNet121) trained on ~49,000 images from 6 datasets, detecting 5 rice leaf conditions with ~97% validation accuracy, plus a binary gatekeeper model to reject non-paddy inputs | Python TensorFlow FastAPI Computer Vision |
| UniFix | Full-stack university complaint management system with real-time status tracking via Socket.io, role-based dashboards, and logic-based issue categorization | Java Node.js MySQL(PHPMyAdmin) JDBC |
| IIT Academic Website with Backend | Batch-wise academic portal for IIT, Jahangirnagar University, allowing admins to upload technical projects with GitHub links, supervisors, and other metadata | FastAPI MySQL HTML/CSS/JS |
| LockGuard | Dual-factor smart door security system with real-time alerting | C++ Android |
| Student Attendance System | Digital attendance management platform with database-backed eligibility tracking for exams | Java MySQL |
- Machine Learning & Deep Learning: classification, ensembling, EDA, feature engineering, model evaluation
- Biomedical AI & Signal Processing: ECG signal cleaning and classification pipelines
- Full-Stack Development: FastAPI, Node.js/Express, React, MySQL/PostgreSQL
- IoT: Arduino and ESP8266-based sensor data acquisition
- Competitive Programming: Codeforces and LeetCode
 C++ |
 C |
 Java |
 Python |
 HTML5 |
 CSS3 |
 JavaScript |
 TensorFlow |
 Keras |
 NumPy |
 Pandas |
 Scikit-learn |
 Matplotlib |
 SciPy |
 Seaborn |
 FastAPI |
 Jupyter |
 MongoDB |
 MySQL |
 PostgreSQL |
 Git |
 GitHub |
 VS Code |
 Arduino |
 Streamlit |
| Repository | Focus |
|---|---|
| Phitron-AL-ML-Learning | Phitron AI/ML course: Python, NumPy, Pandas, Matplotlib, Seaborn, and core ML algorithms |
| Machine-Learning | Foundational ML resources, code examples, and notebooks |
| Machine-Learning-Deep-Learning | Combined ML/DL practice and notes |
| Deep-Learning-Projects | Basic to intermediate deep learning projects |
| Data-Structures-Algorithm-and-Analysis | DSA coursework and problem-solving |
| CodeForces_Problem / LeetCode | Competitive programming solutions |
| NumPy-Library / Pandas-Library / Matplotlib-Library / SciPy-Library | Individual library deep-dives |
| Database-Management-System-MySQL | Database coursework |
| Digital-Logic-Design | Digital logic coursework |
| Numerical-Analysis / Statistics | Applied mathematics for ML |
- Master advanced Data Structures and Algorithms for competitive programming
- Build production-grade ML and DL systems with real-world biomedical data
- Explore Transformer-based architectures for ECG and time-series classification
- Contribute to open-source AI and signal processing projects
- Publish research in biomedical AI — JaundiceScan (upcoming project)
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 Website |