Graduate Research Work

Decentralized Systems& Data Structures:

• Conducting research on efficient storage data structures for decentralized systems.
• Exploring the use of segment trees to enable range queries over distributed data.
• Aiming to support the scalable retrieval of historical transaction states in decentralized environments.
• Investigating trade-offs in performance, consistency, and storage overhead in distributed architectures.

Explainable AI & Large Language Models (LLMs):

• Researching a novel framework for detecting and explaining anomalies in the behavior of LLMs, focusing on semantic analysis tools and chatbot systems.
• Investigated attention mechanisms, tokenization, and response generation to improve interpretability and transparency in LLM-based systems.
• Conducted a comprehensive review of global and local explainability methods (e.g., SHAP, LIME, counterfactuals) and evaluated their effectiveness for anomaly detection tasks.

Software Engineer

Leapfrog Technology Inc. is an international technology partner that specializes in AI-driven innovation, product development, and scalable enterprise solutions.

• Streamlined the software development lifecycle, reducing project timelines by 20%.
• Optimized RESTful APIs, achieving 30% faster response times, enhancing user satisfaction and engagement.
• Designed and implemented backend APIs for the application using Micronaut.
• Expanded product functionality to meet evolving business requirements.
• Led high-quality data annotation, reducing anomalies and boosting model performance.