Experience

Senior Machine Learning Engineer — Apple

• Focus on personalized search systems and vision-language model development for large-scale, user-facing products.

Machine Learning Scientist — Neuro42

• Developed generative AI systems for MRI reconstruction, segmentation, and diagnostic text generation.
• Built multi-GPU PyTorch training pipelines on AWS, reducing inference latency by 40%.
• Filed patents covering noise suppression, magnet-array optimization, and generative modeling.
• Implemented safety and integrity evaluations for clinical AI deployment.

Research Fellow — Harvard Medical School

• Developed meta-learning and diffusion frameworks for multi-modal MRI reconstruction.
• Integrated physical priors as embeddings for physics-informed diffusion models (PSNR +2 dB over SOTA).
• Collaborated with clinical teams to validate reliability and interpretability under safety constraints.

Graduate Research & Teaching Assistant — University of Florida

• Researched optimization-based meta-learning for inverse imaging problems.
• Taught and mentored students in Numerical Linear Algebra, Numerical Analysis, and Calculus.