Daniel Miranda Email & Phone Number

San Jose, Ca, Us

Leading a team of applied scientists working on training and inference for the next generation of Adobe Firefly's generative models in the image and multimodal space. Our team works on a combination of the large scale distributed training of the core foundational model, as well as the end to end inference pipeline. We also own, train, and implement several other related models in this space for prompt rewriting, representation learning, conditioning, and fine-tuning to user preferences.

San Jose, Ca, Us

Senior applied science & engineering manager leading the Content Understanding team within eBay's Search organization. Improving relevance & retrieval of search results in eBay's core search experience via various deep learning techniques. Our team owns the complete end-to-end Search ML lifecycle from data-mining and model training/evaluation to production indexing pipelines and inference services. Supporting improvements to retrieval in our existing search use-cases and building & improving new experiences powering visual and multi-modal search.

San Jose, Ca, Us

Search Science - Query UnderstandingWorking on a variety of projects in the Search Query Understanding space. Leading end-to-end efforts through the full ML lifecycle of data collection, model training, model optimization, and deployment of inference services to power production search features.

San Jose, Ca, Us

Adobe Firefly - Generative AIServed as an architect and lead of the cross team efforts to bring Adobe Firefly to production. Led efforts across Cloud, ML Engineering, and Research to build, design, and drive the roadmap that brought Firefly to it's first beta launch in March and successive launches in photoshop and express in the following months. Drove capacity planning efforts, design & scaling of the ML inference service, and the overall cloud architecture design required to run the end-to-end system at scale.

San Jose, Ca, Us

Adobe Sensei & Search - Applied Science & Machine LearningWorking on building and deploying cutting edge Computer Vision, NLP, and audio models to enhance Adobe products. Involved in model training, evaluation, service deployment, batch inference, and integration into product. Supporting a wide variety of image, video, and audio use-cases such as classification, segmentation, search retrieval, tagging, and generative techniques with a strong focus on product impact. Working at the intersection of product and research to adapt models and solve large scale engineering challenges in the cloud.

San Jose, Ca, Us

San Jose, Ca, Us

Managing a team of applied scientists and Machine Learning engineers focused on improving eBay's core search experience through Query Understanding techniques. We are leveraging behavioral data patterns, text semantics, NLP, Machine Learning, and statistical analysis to develop strong features to improve search retrieval/recall and ranking systems. We've successfully delivered new and improved ranking features as well as improved query rewrites.

San Jose, Ca, Us

Worked as one of two engineers to re-architect and re-implement a new Machine Learning data pipeline from scratch that is used to build new ML models for Search Ranking. Implemented a more efficient ranking function leading to double digit performance and capacity improvements with no loss of precision or engagement.Built a new pipeline and evaluation framework for a new ML model targeting relevance leading to a subsequent launch resulting in significant improvements to search relevance metrics and engagement.Worked on incorporating improved seller trust models in our search ranking formula, leading to significant decreases in bad buyer experiences in eBay core search.

San Jose, Ca, Us

Worked on search ranking feature engineering to improve both relevance and user engagement in eBay search. Built new features to predict search success events using a combination of large scale user behavior pattern mining, NLP and text mining, and query/title engagement features. Developed the automated data mining pipeline as well and the language model and offline evaluation framework for the ML task.

San Jose, Ca, Us

Worked on detecting duplicate listings in eBay Search both online and offline to improve the user experience. Delivered statistically significant lifts to search engagement through a combination of data mining, clustering techniques, and modifications to search ranking. Worked in the search science ML team contributing to evaluation, modeling efforts, and feature generation/selection. We were able to successfully launch eBay's first ML ranker.

Fremont, Ca, Us

Helped in building new models of wafer etching/cleaning products.

Fremont, California, Us

Led specialized projects to increase efficiency of warehouse operations.

Bachelor Of Science (Bs), Electrical Engineering And Computer Science

Education record