I'm a Computer Vision & Machine Learning Engineer passionate about transforming research into real-world AI products.
My interests span Computer Vision, Explainable AI (XAI), Healthcare AI, Deep Learning, and Full Stack AI Engineering, where I build scalable applications that bridge machine learning models with intuitive user experiences.
- π§ Medical AI & Healthcare Analytics
- ποΈ Computer Vision & Deep Learning
- β‘ Explainable AI (SHAP)
- π TensorFlow Lite & Edge AI
- π AI-powered Full Stack Applications
- π₯ National Champion in Technology Competition
- π₯ 1st Place National Technology Competition
- π Top 30 Finalist β SciBlitz AI Hackathon 2026 (108 Teams)
- π 5th Place Nationally β DUET CSE Carnival 2026
- π» Building AI-powered applications from research to deployment
- β€οΈ Passionate about Healthcare AI and Explainable Machine Learning
- Scikit-Learn
- TensorFlow
- Keras
- PyTorch
- XGBoost
- NumPy
- Pandas
- Matplotlib
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- Naive Bayes
- KNN
- Support Vector Machine
- XGBoost
- Artificial Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Transfer Learning
- MobileNet
- TensorFlow Lite
- OpenCV
- MediaPipe
- Google ML Kit
- Face Detection
- Face Recognition
- Image Classification
- Object Detection
- OCR
- Explainable AI (XAI)
- Computer Vision
- Healthcare AI
- Medical Image Analysis
- TinyML
- Edge AI
- Human Activity Recognition
- Federated Learning
| Project | Description | Technology |
|---|---|---|
| Heart Failure Prediction AI | Medical AI dashboard with SHAP explainability | React Β· FastAPI Β· Scikit-Learn |
| AI Virtual Mouse | Gesture-based cursor control | OpenCV Β· MediaPipe |
| Cat & Dog Classifier | MobileNet transfer learning | TensorFlow |
| CheatLock | AI-powered online exam proctoring platform | React Β· Node.js Β· TensorFlow Lite |
| Eco Electricity | Smart energy monitoring dashboard | TypeScript Β· Gemini API |
- Build production-ready Healthcare AI systems
- Publish AI research projects
- Contribute to Open Source AI
- Master MLOps & Cloud AI
- Deploy scalable AI services
- Learn Large Language Models
- Explore AI Agents & Multi-Agent Systems
- MLOps
- Docker
- Kubernetes
- AWS
- LangChain
- LlamaIndex
- RAG Systems
- Agentic AI
- ONNX
- TensorRT
"Artificial Intelligence is most impactful when it augments human potential through transparent, trustworthy, and scalable solutions."
β If you like my work, consider following me and starring my repositories!