Excited for the power of data to drive impactful change and solve real-world problems.
With 3 years of experience as an AI engineer, I am now focused on applying my skills to Data Engineering--building scalable data pipelines and infrastructure to support high-impact applications in healthcare and biotech. I’ve implemented real-time stream processing systems and integrated vector databases to support semantic search in ML inference. My background includes co-founding a biotech startup, where I led the development of cell-targeting software, 3D-hollow tube bioreactor, and sensor integration, improving throughput and efficiency by over 10%. I thrive in roles that combine hands-on pipeline development, DevOps, and cross-functional collaborations to turn complex biological data into actionable insights.
