Zulfidin (Bobojon) Khodzhaev, Ph.D.

Staff Data & ML Engineer at Western Digital, building ML models and Agentic AI systems for hard drive engineering teams.

I work on applied ML and Agentic AI for HAMR technology, hard drive data analysis. My focus is taking ML from research to production in engineering workflows.

Ph.D. in Electrical and Computer Engineering from UT Austin (completed in 2.5 years). Research on neuromorphic computing, magnetic skyrmions, and generative AI for plasmonic design. Work featured on the cover of Nature Reviews Electrical Engineering (Nov 2024). Guest researcher at NIST. Published in IEEE, AIP, and Nature-cited journals.

Previously interned at Seagate, where I built a generative AI pipeline (VAE + diffusion models) for plasmonic NFT design that produced 2,000+ optimized structures per hour with 20% higher power efficiency than expert-designed structures.

Earlier degrees in Physics Engineering and Electronics & Communication Eng from Istanbul Technical University (ABET-accredited) and an M.S. in Physics from Oklahoma State University. Erasmus+ exchange at Aristotle University of Thessaloniki.

Fluent in four languages. Originally from Tajikistan, based in San Jose.

Work Authorization US: EB-2 NIW Green Card (no sponsorship needed); UK: High Potential Individual visa eligible

Open to: Industry opportunities, research collaborations, and speaking engagements.

zulfidinkhodzhaev@gmail.com

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