Nate Ramirez

Background

About Nate Ramirez

I am an experienced Software Engineer passionate about building robust, innovative solutions that drive real business value. My background spans the medical device industry, healthcare IT, academic research, and consulting, giving me a unique perspective on quality, precision, and problem-solving. My technical toolkit includes Python, C#, TypeScript, JavaScript, SQL, and cloud platforms such as Azure and AWS. I have delivered end-to-end systems: from architecting scalable APIs and developing user-facing applications to automating data validation and advancing QA automation. I take pride in my ability to bridge business, frontend, and backend teams to streamline deployments while advocating for strong documentation and requirements alignment. Recently, as Head Engineer at Ontologic LLM, I led the design and implementation of a custom Retrieval-Augmented Generation (RAG) platform, combining dense and sparse vector search to enable precise, context-aware question answering. My work has included building advanced AI-powered chatbot platforms, designing custom prompt workflows, and deeply integrating LLMs into web applications to deliver tailored, domain-specific user experiences. I thrive in collaborative, fast-paced teams and enjoy mentoring others, driving process improvements, and tackling complex technical challenges. Whether leading a cross-functional engineering initiative, teaching SQL best practices, or optimizing data flows between multiple systems, I am driven by curiosity, ownership, and a commitment to excellence. Let’s connect if you’re interested in building intelligent, scalable solutions that make a difference.