Western Digital | Staff Data & ML Engineer San Jose, CA | 2024 – Present
Building ML models and Agentic AI systems for hard drive engineering teams. Focus areas:
Agentic AI for code translation across legacy engineering codebases
ML model automation for HAMR and hard ddata analysis pipelines
Agentic AI for engineering data analysis, including band-skipping prediction
Baylor College of Medicine | Postdoc
AI-assisted therapy in radiation oncology. Machine learning models for predicting patient survival rates.
Seagate Technology | Ph.D. Research Intern 2023
Developed a generative AI pipeline (VAE + diffusion models) for plasmonic near-field transducer (NFT) design in HAMR systems.
Generated 2,000+ optimized plasmonic structures per hour
Achieved 20% higher power efficiency vs. expert-designed baselines
Validated results through electromagnetic simulations
Work published in IEEE Transactions on Magnetics (in prep)
NIST (National Institute of Standards and Technology) | Guest Researcher Boulder, CO | Summer 2021
Nanoscale Spin Dynamics group under Dr. Thomas J. Silva. Research on hopfion dynamics and resonant spin behavior in chiral magnets.
GOHM Electronics | Research Engineer (Undergraduate) Istanbul, Turkey | 2018 – 2019
Machine learning for wireless network authentication and physical layer security.
Built device fingerprinting system using SVM, KNN, and custom CNNs on spectrograms
Achieved 99% accuracy on IoT sensor identification
Statistical method commercialized by GOHM for vehicle localization and data protection
Published at ELECO 2018
