Aron Ifanger

I am a specialist in Generative Artificial Intelligence with over a decade of experience in the broader field of AI, combining a strong background in Data Science with deep expertise in Large Language Models (LLMs). My journey began with the development of machine learning models for financial, industrial, and consumer goods sectors, where I focused on extracting value from data through predictive modeling and analytical solutions. Over time, I transitioned into the rapidly evolving world of Generative AI, where I now lead projects that use natural language as a powerful interface between humans and technology.

Currently, I serve as Head of AI at a healthtech startup, where I design and deploy intelligent systems that bridge complex data with human understanding. My core focus is on building LLM-powered applications—tools that allow users to interact with data through simple questions, automate repetitive workflows, and generate valuable insights without requiring technical expertise. I’m particularly involved in architecting Retrieval-Augmented Generation (RAG) systems, orchestrating multi-agent workflows, and creating APIs that abstract the complexity of AI so that it can be used intuitively by product teams and stakeholders.

My work is rooted in the belief that technology should amplify human potential. Whether it’s helping researchers analyze real-world health data faster, enabling executives to make data-driven decisions through conversational dashboards, or designing AI assistants that streamline business operations, I’m passionate about using Generative AI to solve real problems and create meaningful impact.

In addition to my hands-on technical work, I mentor teams on how to integrate AI into their workflows, define AI product strategies, and ensure the responsible and efficient deployment of intelligent systems. I’ve also authored educational content—including eBooks and practical guides—designed to help developers and businesses understand and adopt LLM technologies.

With a Master’s degree in Intelligent Systems and a career built across startups and enterprise environments, I bring both technical depth and strategic vision to AI-driven initiatives. My current mission is to make AI more accessible, scalable, and valuable—empowering organizations to transform the way they work, innovate, and grow.