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@adobe.com
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Daniel Miranda is listed as Senior Manager, GenAI Foundational Models @ Adobe Firefly at Adobe, a company with 51 employees, based in Fremont, California, United States. AeroLeads shows a work email signal at adobe.com, phone signal with area code 510, and a matched LinkedIn profile for Daniel Miranda.
Daniel Miranda previously worked as Sr Manager, Applied Research, Adobe Firefly GenAI at Adobe and Senior Manager, Search & Applied ML at Ebay. Daniel Miranda holds Bachelor Of Science (Bs), Electrical Engineering And Computer Science from University Of California, Berkeley.
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AeroLeads found 2 current-domain work email signals for Daniel Miranda. Compare company email patterns before reaching out.
Senior Applied Machine Learning manager with over 12 years of experience building data pipelines and models, as well as deploying them to production to drive real world impact. Experience both on the modeling side as well as building and owning production services that serve ML models at scale. Have worked in lead, architect, and management roles in both the Search world, and the Creative world powering information retrieval systems as well as Generative AI applications.
Listed skills include Hadoop, Machine Learning, Data Mining, Information Retrieval, and 34 others.
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A career timeline built from the work history available for this profile.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Other employees you can reach at adobe.com. View company contacts for 51 employees →
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Kaila Cage
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Colleague at AdobeCairo, Cairo, Egypt, Egypt
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Mohammad Chechenia
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Colleague at AdobeLudhiana, Punjab, India, India
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Amberly Lindgren
Colleague at AdobeCampobello, South Carolina, United States, United States
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Prethebha Chandrasegaran
Colleague at AdobeSan Francisco Bay Area, United States
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Kabir Khan
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Bakash S.
Colleague at AdobeDenver Metropolitan Area, United States, United States
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Quick answers generated from the profile data available on this page.
Daniel Miranda works for Adobe.
Daniel Miranda is listed as Senior Manager, GenAI Foundational Models @ Adobe Firefly at Adobe.
AeroLeads has found 2 work email signals at @adobe.com for Daniel Miranda at Adobe.
AeroLeads has found 2 phone signal(s) with area code 510 for Daniel Miranda at Adobe.
Daniel Miranda is based in Fremont, California, United States while working with Adobe.
Daniel Miranda has worked for Adobe, Ebay, Lam Research, and Novellus Systems.
Daniel Miranda's colleagues at Adobe include Priyanka R.K, Kaila Cage, Hossam Eldein, Mohammad Chechenia, and Samr Das.
You can use AeroLeads to view verified contact signals for Daniel Miranda at Adobe, including work email, phone, and LinkedIn data when available.
Daniel Miranda holds Bachelor Of Science (Bs), Electrical Engineering And Computer Science from University Of California, Berkeley.
Daniel Miranda is listed with skills including Hadoop, Machine Learning, Data Mining, Information Retrieval, Java, Mapreduce, Search, and Algorithms.
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