Eddie Machin Email & Phone Number | Currently managing UVeye's US Data Validation Team, data annotation operations and field ground truth data collection strategy. Our team's focus ensures top-tier system performance through meticulous data validation, which includes leveraging Python based data analysis for in-depth insights. These are turned into different data labeling and algorithm solutions to improve our products. Previously, as part of Microsoft's AI Data Operations in Redmond, WA, I contributed to the creation of business operations processes and also to a variety of data annotation and transcription projects for speech recognition technologies in Spanish and multiple languages. I worked on providing global support for our internal data annotation tool, creating and driving a support process for the global teams. This included troubleshooting errors but also driving enhancements and providing prior and extensive UAT to minimize potential impact to our global annotation operations. I also joined forces with the Microsoft AI for Good Lab, and managed the full cycle process and initiative for a computer vision product from concept ideation to product delivery. At Apple in Cupertino, CA I managed Data Annotation operations for a team of 20+ contractors. I was the link between the PM team and the operations team ensuring quality annotations and timely delivery of training data sets. We covered a variety of NLP, CV, and Gen AI projects. Our key projects involved Siri benchmarking, object recognition technologies, including vehicles detection. However our greatest efforts went to OCR projects in multiple languages: English, Spanish, Portuguese, French, Italian, German, and Chinese, which required providing and ensuring quality of transcriptions in all foreign languages. This role exposed me to work with HR outsourcing clients, internal stakeholders, clients, and vendors. Lastly I also supervised device/prototype collection for onsite outsourcing testing team of 10 members. This combination of background experiences has honed my competencies in AI/ML data operations

Eddie Machin

Currently managing UVeye's US Data Validation Team, data annotation operations and field ground trut...
New York City Metropolitan Area, New York City Metropolitan Area, United States

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Eddie Machin’s Email emachin@apple.com

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Eddie Machin’s Location New York City Metropolitan Area, New York City Metropolitan Area, United States

Eddie Machin’s Current Industry Uveye

Eddie Machin’s Prior Industry Microsoft | Apple | Netflix | Pole To Win America

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Work Experience

Uveye

Data Validation Team Lead

2023-06-01 00:00:00 - Present

Microsoft

AI Data Operations

2020-12-01 00:00:00 - 2022-11-01 00:00:00

Apple

AI/ML Data QA Lead

2019-10-01 00:00:00 - 2020-10-01 00:00:00

Netflix

Content QC Lead

2012-04-01 00:00:00 - 2013-06-01 00:00:00

Pole To Win America

Spanish Game Localization Tester

2011-07-01 00:00:00 - 2011-12-01 00:00:00

Skills

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Languages

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FAQ About Eddie Machin

Eddie Machin is located at
New York City Metropolitan Area, New York City Metropolitan Area, United States

Eddie Machin is a Currently managing UVeye's US Data Validation Team, data annotation operations and field ground truth data collection strategy. Our team's focus ensures top-tier system performance through meticulous data validation, which includes leveraging Python based data analysis for in-depth insights. These are turned into different data labeling and algorithm solutions to improve our products. Previously, as part of Microsoft's AI Data Operations in Redmond, WA, I contributed to the creation of business operations processes and also to a variety of data annotation and transcription projects for speech recognition technologies in Spanish and multiple languages. I worked on providing global support for our internal data annotation tool, creating and driving a support process for the global teams. This included troubleshooting errors but also driving enhancements and providing prior and extensive UAT to minimize potential impact to our global annotation operations. I also joined forces with the Microsoft AI for Good Lab, and managed the full cycle process and initiative for a computer vision product from concept ideation to product delivery. At Apple in Cupertino, CA I managed Data Annotation operations for a team of 20+ contractors. I was the link between the PM team and the operations team ensuring quality annotations and timely delivery of training data sets. We covered a variety of NLP, CV, and Gen AI projects. Our key projects involved Siri benchmarking, object recognition technologies, including vehicles detection. However our greatest efforts went to OCR projects in multiple languages: English, Spanish, Portuguese, French, Italian, German, and Chinese, which required providing and ensuring quality of transcriptions in all foreign languages. This role exposed me to work with HR outsourcing clients, internal stakeholders, clients, and vendors. Lastly I also supervised device/prototype collection for onsite outsourcing testing team of 10 members. This combination of background experiences has honed my competencies in AI/ML data operations