About Me

As a Senior Data Scientist at Walmart Global Tech, I design and deploy large-scale machine learning and GenAI systems that power real-world decision-making at scale. My work focuses on building end-to-end AI platforms, including LLM-based agents, retrieval and reranking systems, and production-grade inference pipelines. Recently, I developed a GenAI agent platform integrating retrieval, tool usage, and code execution, as well as a multimodal safety agent using LangGraph for hazard detection and automated task assignment—bringing together reasoning, perception, and real-world action.

I have strong experience in LLM systems design and optimization, including inference acceleration (vLLM, TensorRT-LLM), scalable serving, and improving reliability, grounding, and latency in production environments. A key part of my work involves transforming complex, unstructured data into robust, trustworthy AI systems that operate under real-world constraints.

Previously at Ford Motor Company, I built and deployed impactful ML solutions, including an AI-powered search system that reduced call center response time by 60% and a recommendation engine that decreased call duration by 20%. I also led the development of large-scale NLP pipelines to extract insights from global customer interactions, improving both customer satisfaction and operational efficiency.

Across my work, I focus on bridging advanced machine learning with production systems, ensuring that models are not only accurate but also scalable, interpretable, and impactful. My interests lie in LLMs, agentic AI, multimodal systems, and building reliable AI infrastructure that drives meaningful business outcomes.

You can explore my research on my Google Scholar profile and view my projects on GitHub (@A-Ghaderi). I’m always open to connecting and discussing AI systems, GenAI, and applied machine learning.