I am an AI engineer with a background in Cognitive Science and hands-on experience building production-ready automation systems using large language models. My work focuses on designing intelligent agents that transform complex business logic into reliable, scalable workflows—integrating AI models, APIs, and enterprise tools to improve efficiency and decision-making.
I have experience developing end-to-end AI solutions that handle information intake, classification, scoring, and automated communication, including CRM updates and team notifications. My approach combines strong Python engineering skills, system design, and an understanding of human–AI interaction to ensure solutions are not only technically robust but also practical and user-centered.
Having worked closely with business stakeholders, I am comfortable translating high-level requirements into concrete technical implementations and iterating based on real-world outcomes. I am particularly interested in AI systems that continuously learn from feedback and improve over time, bridging automation with meaningful business impact.
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