Headline
AI/ML & Software Developer | CSE (Data Science) Student
About
I am a final-year Computer Science and Data Science student with a strong foundation in software development, artificial intelligence, machine learning, and computer science fundamentals. I have hands-on experience building AI/ML applications, full-stack systems, and Retrieval-Augmented Generation (RAG) solutions through academic and personal projects. My technical skills include Python, Java, JavaScript, React.js, FastAPI, Flask, MongoDB, MySQL, LangChain, FAISS, Hugging Face Transformers, TensorFlow, PyTorch, and Scikit-learn. I have developed projects including an Esports Tournament Management System, a Universal Anti-Hallucination and Self-Correction RAG System, and a Personalized Learning Style Detection System. These projects have strengthened my ability to design APIs, work with databases, develop machine learning models, implement retrieval systems, and translate technical requirements into functional applications. My RAG project achieved 81.7% overall accuracy and 90% hallucination detection, while my learning-style classification system achieved 90.65% accuracy. Alongside technical development, I have participated in hackathons and represented my team at a BIRAC presentation event. I am a motivated problem solver who enjoys learning new technologies and building practical solutions, and I am seeking opportunities to contribute to real-world software, AI, and engineering projects.