I am conducting experiments using memory-augmented planning and various forms of knowledge representation, such as knowledge graphs and hierarchical task networks, to explore how agents can be grounded in human knowledge, and whether this type of training can outperform reinforcement learning agents.

Developed full stack web applications to manage engineering documents effeciently. Created front-end interfaces in Angular, and implemented back-end services in Kotlin and SQL, enhancing data retrieval and setting up automated deployment systems.

Focused on software engineering, along with training and optimizing models to prevent check fraud.
Analyzed branch operations to identify cost-saving measures using generative AI and automation technologies.

Applied data science methods to automate classification of auto parts, improving operational efficiency. Developed a data-driven dashboard for monitoring supplier performance, handling large-scale data sets with SQL. Built predictive models to anticipate supply chain issues, enhancing the reliability of parts delivery.