I build intelligent and scalable software solutions by combining Machine Learning, Artificial Intelligence, and Software Engineering.
My focus is on developing AI-powered applications, ML systems, backend services, and modern web applications that solve real-world problems.
- 🤖 Building Machine Learning models, AI agents, and intelligent applications
- 💻 Experienced in Software Engineering with full-stack web development
- 🏗️ Developing scalable backend systems, APIs, and AI-powered products
- 🧠 Interested in LLMs, NLP, Deep Learning, and AI Engineering
- 📊 Experienced in data analysis, model development, and deployment workflows
- 🔬 Research-oriented with conference/journal publication experience
- 🚀 Passionate about building impactful technology solutions
Python • TensorFlow • Keras • Scikit-learn • HuggingFace • LangGraph • LangChain
JavaScript • React.js • Next.js • Node.js • Express.js • Tailwind CSS
FastAPI • REST API • MySQL • MongoDB
Git • GitHub • Docker • Streamlit
Machine learning-based healthcare prediction system with data preprocessing, feature engineering, and model evaluation.
Demand forecasting system using machine learning models for predicting product demand from historical data.
CNN-based computer vision system for detecting potato leaf diseases.
AI agent system built with LangGraph, FastAPI, Streamlit, Groq Cloud, LLaMA models, and Tavily search.
- Exploring Machine Learning Engineering and AI systems
- Building production-ready AI applications
- Improving software architecture and scalable development practices
⭐ Building AI-powered products with strong software engineering foundations.