Western Digital -- Staff Data & ML Engineer
San Jose, CA (2025-Present)
Building ML models and Agentic AI systems for hard drive engineering teams.
Agentic AI for code translation and large dataset analysis.
ML for hard drive manufacturing, from modeling to deployment.
Baylor College of Medicine -- ML Engineer (Postdoc)
Houston, TX (Spring 2025)
AI-assisted therapy in radiation oncology. Machine learning models for predicting patient survival rates (clinic-based).
Seagate Technology -- DNN Plasmonic Design (Intern)
Bloomington, MN (later remote) (May 2024-Dec 2024)
Developed a generative AI pipeline (VAE + diffusion models) for plasmonic near-field transducer (NFT) design in HAMR systems.
Generated 2k+ 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 (under review).
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.
Seagate Technology -- ML Device Physics Modeling (Intern)
Longmont, CO (May 2022-Aug 2022)
Device physics modeling for HAMR systems. Generated and analyzed media magnetization patterns using deep learning.
Built CNN and PCA pipelines in PyTorch for feature extraction from experimental and simulated magnetic domain images.
Generated synthetic magnetic domain images with custom GANs to augment training data for HAMR performance and reliability prediction.
GOHM Electronics -- ML Research Engineer
Istanbul, TR (Undergrad, 2018-2019)
ML 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.
Method commercialized by GOHM for vehicle localization and data protection.
Published at ELECO 2018.
