I am a Computer Science graduate with hands-on experience in Artificial Intelligence, Machine Learning, Data Science, Software Development, and backend technologies. I have worked on practical projects involving Computer Vision, NLP, data analytics, APIs, databases, mobile applications, and cybersecurity.
My main focus is building practical AI-powered and software solutions that solve real problems. I can work on machine learning models, data analysis workflows, AI integrations, backend APIs, and web or mobile application features. I have experience using Python, Flask, MongoDB, Streamlit, Scikit-learn, TensorFlow, PyTorch, LangChain, LangGraph, Hugging Face Transformers, and REST APIs.
I have developed projects such as an AI missing person face recognition system, a YouTube video summarization web app, a customer complaint analytics system, a currency classification neural network, and security-related projects involving system hardening, incident response, and VPN packet inspection.
I am always focused on writing clean, organized, and practical solutions, with attention to problem-solving, system logic, and delivering results that match client requirements.