Turning frontier AI research into systems that ship.

Senior Machine Learning Engineer

• Pioneered a synthetic data and GenAI solution for computer vision training, reducing acquisition and annotation costs by 95%.
• Led diffusion-model pipelines for inpainting, stylization and domain adaptation, increasing interior scene segmentation mIoU by 30% without annotated segmentation data.
• Fine-tuned CLIP ViT-B/32 with LoRA, improving Recall@10 by 15% while updating only 3% of model parameters.
• Orchestrated five concurrent ML projects and led a team of four engineers; served onsite in Germany for four months across production deployments.

Stack: Diffusion Models · GenAI · PyTorch · Agile · System Design · Team Leadership

Machine Learning Engineer

• Developed a graph convolutional network for human stature and 3D head-position estimation.
• Optimized GPU data augmentations, cutting training time by 25% and improving human pose performance by 5%.
• Built an uncertainty-weighted multi-task loss, improving PCK@50 by 12% and mIoU by 7%.
• Worked on PTQ and QAT for low-latency edge deployment.

Stack: Machine Learning · Graphs · Computer Vision · Quantization · GCP

Artificial Intelligence Research Intern

Built a semi-supervised MixMatch pipeline for image classification, increasing F1 score by 7% by learning from unannotated data.

Data Science Research Intern

Developed a hybrid recommendation engine combining collaborative filtering and content similarity with contrastive user and item embeddings.