2025 - 2026
Meta · Machine Learning Engineer
Owned research, training, and development of a multimodal foundation model for causal understanding of ad campaign outcomes.
I work across causal ML, neural networks, GPU-scale training infrastructure, and semiconductor AI systems, with recent experience on ads ML research at Meta and foundation-model training infrastructure at AWS.
2025 - 2026
Owned research, training, and development of a multimodal foundation model for causal understanding of ad campaign outcomes.
2024 - 2025
Engineered ML infra for large-scale cloud models, optimizing GPU cluster scaling and distributed ML system performance.
2022 - 2024
EUV light source.
2022
Developed computer vision models for semiconductor chip defect detection.
Sep 2022 - Dec 2023
Completed my master's while working full-time at ASML, with a concentration in AI.
Oct 2020 - Dec 2021
Completed my undergrad degree in 1 year, graduating at 19, by earning some college credit in high school and accelerating the rest of my degree. Graduated cum laude and with highest honors in the major.