I am a researcher and engineer passionate about building intelligent systems that bridge the gap between human language and machine understanding. My work lies at the intersection of Natural Language Processing, Machine Learning, and practical software engineering.
Currently, I focus on developing conversational AI agents and full-stack applications, leveraging modern technologies like React, TypeScript, and cloud infrastructure. My background in NLP research gives me a unique perspective on building AI-powered products that truly understand user intent.
In the age of Large Language Models and generative AI, my foundational research in semantic similarity, question generation, and dialogue systems has become more relevant than ever. I continue to explore how these technologies can enhance learning experiences, improve human-computer interaction, and solve real-world problems.
Natural Language Processing
Semantic similarity, text understanding, paraphrase detection, and knowledge representation
Conversational AI
Dialogue systems, intelligent tutoring, question generation, and LLM applications
Machine Learning
Statistical models, deep learning for NLP, embeddings, and neural architectures
Full Stack Development
Modern web technologies, cloud infrastructure, API design, and scalable systems