I build Machine Learning, NLP, and AI-powered applications and turn them into real-world web applications.
I'm particularly interested in Generative AI, Transformers, RAG, AI Agents, and intelligent developer tools.
- 🤖 Building AI & Machine Learning applications
- 🧠 Exploring Transformers, LLMs, RAG & AI Agents
- 🐍 Working primarily with Python for AI/ML
- 🌐 Building web applications with React & JavaScript
- ⚡ Developing APIs with FastAPI and Node.js
- ☁️ Learning AI/ML deployment and cloud technologies
- 🔬 Interested in NLP, Computer Vision & Generative AI
- 💡 Always experimenting with new AI technologies
An AI-powered code review system that automatically analyzes GitHub Pull Requests and provides intelligent code feedback.
- GitHub App integration
- GitHub Webhooks
- Pull Request analysis
- Automatic changed-file detection
- AI-powered code review
- Gemini integration
- FastAPI backend
- Automated workflow
Python FastAPI GitHub API Webhooks Gemini AI
🔗 Repository: View Project
A document-based Question Answering system using BERT and Hugging Face Transformers.
Users can upload documents and ask questions based on the document content.
- 📄 Document upload
- 🧠 BERT Question Answering
- 🔍 Context-based answers
- 🤗 Hugging Face Transformers
- ⚡ FastAPI backend
- 🌐 Web interface
- ☁️ Cloud deployment
Python BERT Transformers FastAPI PyTorch Hugging Face
🔗 Repository: View Project
A transformer-based text summarization application using T5.
The application converts long text into concise summaries using a fine-tuned/pre-trained Transformer model.
- 📝 Text summarization
- 🤗 T5 Transformer
- ⚡ FastAPI API
- 🌐 Web interface
- 🚀 Model deployment
Python T5 Transformers PyTorch FastAPI
🔗 Repository: View Project
A Machine Learning application that predicts the likelihood of heart disease using Logistic Regression.
Accuracy: 90%
- Logistic Regression
- Data preprocessing
- Feature engineering
- Model evaluation
- Interactive Streamlit UI
- Real-time prediction
Python Pandas NumPy Scikit-learn Logistic Regression Streamlit
🔗 Repository: View Project
A digital platform designed to securely organize important family documents and memories.
- 📄 Document storage
- 🔐 Authentication
- 📁 Digital document management
- ⏰ Expiry reminders
- 🏡 Property document organization
- 📑 Certificate and insurance management
React JavaScript Supabase Tailwind CSS
🔗 Repository: View Project
| Project | Algorithm / Technology | Result |
|---|---|---|
| ❤️ Heart Disease Prediction | Logistic Regression | 90% Accuracy |
| 🏠 House Price Prediction | Regression | R² ~0.65+ |
| 📞 Customer Churn Prediction | Logistic Regression | ~79.5% Accuracy |
| 🌧️ Rainfall Prediction | Regression | Experimental |
| 🔢 MNIST CNN | CNN | 99%+ Accuracy |
| 🔢 MNIST RNN | RNN | ~96% Accuracy |
| 📝 Text Summarization | T5 Transformer | NLP |
| 🧠 Document QA | BERT | NLP |
🤖 Generative AI
↓
🧠 Large Language Models
↓
🔎 Retrieval Augmented Generation
↓
🕸️ LangGraph
↓
🤖 AI Agents
↓
⚡ Production AI Applications
Currently exploring:
- 🤗 Hugging Face Transformers
- 🧠 Large Language Models
- 🔎 RAG
- 🕸️ LangGraph
- 🤖 AI Agents
- 🔗 Vector Databases
- ⚡ FastAPI
- ☁️ AI/ML Deployment
- 🐳 Docker
🤖 AI Applications
🧠 Machine Learning Models
📄 Document Intelligence
🔍 Question Answering Systems
📝 NLP Applications
💻 AI Developer Tools
🌐 Full-Stack Applications
🚀 Production ML/AI Systems
Build → Experiment → Deploy → Learn → Improve 🚀
I enjoy taking an idea from a machine learning experiment and turning it into a usable application.
I'm interested in collaborating on:
- 🤖 AI/ML projects
- 🧠 Generative AI
- 🔎 RAG applications
- 🤗 NLP projects
- 🌐 Full-stack AI applications
- 🚀 Open-source projects
If you find any of my projects interesting, feel free to ⭐ the repository and explore the code.
Let's build something intelligent together. 🚀🤖