
Detail-oriented computer science graduate specializing in artificial intelligence, equipped with strong analytical skills and a commitment to continuous learning. Proven ability to adapt to new technologies and deliver impactful solutions. Eager to leverage fresh perspectives to drive innovation in technology-driven projects.
Developed an AI-powered legal assistance system using Multi-Agent RAG architecture, NLP, and Large Language Models for intelligent legal document retrieval and response generation.
Integrated vector databases and machine learning techniques to enable legal query processing, case summarization, and context-aware information retrieval, improving efficiency and reducing manual legal research efforts.