I am a passionate engineer with over 15 years of experience building ML-driven products and scalable distributed systems, especially in the ad tech space. I love blending deep technical expertise with product intuition to create impactful solutions that drive multimillion-dollar business outcomes. From designing real-time bidding platforms to optimizing machine learning models for efficiency, I strive to deliver value at every stage of the product lifecycle.
Currently, I lead engineering efforts at Media.net where I work on innovative ad relevance ranking, contextual recommendation systems, and LLM-powered ad generation pipelines. I enjoy mentoring teams, driving technical strategies, and sharing my learnings openly, including through open-source projects and writing. Overall, I’m excited by challenges that require both technical rigor and creative problem-solving.
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