Professional Overview
I am an AI Engineer with experience in intelligent agent systems, simulation modeling, and generative AI applications. Having completed my M.S. in Artificial Intelligence at the Illinois Institute of Technology, I focus on developing practical AI solutions that address real-world industrial challenges.
In my role as a Simulation Engineer at Amazon, I design and implement large-scale discrete event simulations for fulfillment center optimization. My work combines academic knowledge with practical application, developing agentic AI systems that enhance operational efficiency and decision-making processes in complex logistics environments.
Areas of Expertise
Agent-Based Systems
Development of intelligent agent architectures using CrewAI and AutoGen for automated problem-solving and collaborative decision-making in enterprise environments.
Simulation Engineering
Design and implementation of discrete event simulations for complex operational systems, with focus on logistics optimization and throughput analysis.
Retrieval-Augmented Generation
Implementation of RAG systems with vector databases for automated document analysis and knowledge extraction from technical specifications.
GenAI Applications
Development of generative AI solutions using large language models, with applications in business process automation and data analysis.
Professional Experience
Architect discrete event simulations for fulfillment center operations, modeling within-yard and off-yard processes to optimize throughput and evaluate system retrofits. Develop agentic AI solutions using RAG and AWS Bedrock Agents for automated analysis of vendor proposals and comprehensive test plan generation using large language models.
Developed AI-driven data catalog applications leveraging LLMs for intelligent search, insights, and visualizations. Researched agentic approaches for automated data analysis and created observability dashboards with integrated LLM-based graph generation using LIDA.
Collaborated with RTA Dubai to develop innovative solutions for public transport optimization. Built a comprehensive mobility data analytics platform integrating GTFS analysis, sentiment analysis, and large language models for route planning insights. Implemented tool-calling mechanisms with LangChain for automated query processing and traffic pattern analysis.