Walgreens: Data Engineer

Dear Hiring Manager, I am excited to apply for the AI Engineer/Machine Learning Engineer position at your company. With experience building production-grade AI systems, Retrieval-Augmented Generation (RAG) pipelines, LLM agents, and scalable cloud applications, I enjoy transforming cutting-edge AI capabilities into reliable products that solve real business problems. Most recently, as a Machine Learning Engineer at Drexel Dornsife School of Public Health, I designed and deployed a production-grade RAG platform that improved retrieval quality, reduced off-topic responses, and enabled researchers to efficiently query healthcare documents using natural language. I also built LangGraph-based AI agents, developed FastAPI services on Google Cloud Platform, implemented automated LLM evaluation pipelines, and integrated secure deployment workflows using Docker, GitHub Actions, and MLflow. These projects strengthened my expertise in production AI, model evaluation, retrieval optimization, and secure AI delivery. Previously, as an AI Engineer at Grayson Sky, I developed a Vertex AI-powered research agent that combined RAG, function calling, and external APIs to automate competitive intelligence workflows. By optimizing retrieval strategies and intelligent model routing, I significantly improved response times while reducing inference costs. Earlier in my career, I worked as a Full-Stack Software Engineer, building scalable web applications and secure backend APIs with React, TypeScript, Node.js, Python, and PostgreSQL, giving me a strong software engineering foundation that complements my AI expertise. What excites me most about your team is the opportunity to work on ambitious AI products that have meaningful real-world impact. I enjoy collaborating across engineering and product teams, rapidly iterating on user feedback, and building systems that are scalable, reliable, and trustworthy. I am eager to contribute my experience with LLMs, RAG architectures, cloud infrastructure, and modern software engineering practices while continuing to learn and grow alongside a world-class team. Thank you for your time and consideration. I would welcome the opportunity to discuss how my background and passion for AI engineering can contribute to your organization. I look forward to hearing from you.