I am a Data Scientist working in the AI and machine learning space at Tesla, where I build and deploy machine learning solutions that operate at scale and drive real-world impact.​

 

With a background in computer science and over three years of experience in AI and machine learning, my work spans the full ML lifecycle including data engineering, feature design, model development, evaluation, and production deployment. I enjoy solving ambiguous problems, translating them into measurable objectives, and delivering models that are not only accurate but also reliable, explainable, and actionable.​

 

My approach to AI is shaped by precision and discipline, qualities I have developed as a national-level air rifle shooter. Competitive shooting demands intense focus, consistency under pressure, and continuous calibration. These principles directly influence how I design models, run experiments, and iterate on ML systems in high-impact environments.

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              “It’s not just about hitting the target; it’s about hitting the bullseye of innovation.”

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At Tesla, I work at the intersection of AI, engineering, and decision-making, viewing data as both a science and a craft. Each challenge is an opportunity to push boundaries, and every model built is a step toward shaping smarter and more resilient systems for the future.