Dax User

Engineered knowledge-driven recommendation systems for travel operations using Neo4j. Integrated LangGraph for multilingual queries and designed algorithms for customer behavior analysis.

Designed and deployed advanced Retrieval-Augmented Generation (RAG) systems using knowledge graphs to enhance contextual query responses. Integrated Neo4j databases for large-scale data management and developed an AI agent for stock market analysis.

Developed Reinforcement Learning models to enhance conversational agents and predictive maintenance systems for energy grids. Conducted research on lightweight fine-tuning techniques.

Developed fraud detection models and real-time account monitoring systems. Integrated predictive analytics into banking systems and conducted workshops on advanced analytics tools.

Implemented anomaly detection models and developed NLP solutions for multilingual sentiment analysis. Built fraud detection pipelines to identify high-risk activities.

Designed and implemented backend systems in Python for efficient data storage and processing. Automated data workflows to improve operational efficiency.

Built automation tools to streamline operational processes and collaborated with engineering teams to enhance telecommunications platforms.

Pursued a Master’s in Computer Science with a concentration in Artificial Intelligence, focusing on advanced machine learning techniques and their applications in real-world scenarios.

Completed a Bachelor’s in Computer Science, gaining foundational knowledge in programming, algorithms, and software development principles.