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Experienced software engineer with a demonstrated history of working with machine learning applications, productionizing and evaluating machine learning models, big data and distributed processing pipelines, and serverless data pipelines. Worked on variety of different machine learning applications such as computer vision, text-to-speech, speech recognition, LLMs, etc.
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Senior Software Engineer, Uber AiUber Dec 2022 - PresentSan Francisco, California, Us -
Machine Learning Engineer, Alexa SpeechAmazon May 2021 - Nov 2022Seattle, Wa, Us• Built a serverless TTS audio generation and caching service used by multiple internal users to improve Alexa's ASR, reducing storage costs by removing millions of duplicate audio files per week.• Led project that used synthetic TTS audio as training data to use improve ASR ranking of n-best predictions on tail entities • Created and ran audio augmentation experiments for improving correlation between text-to-speech synthetic audio and recorded production audio for evaluating Alexa ASR models.• Developed and established best practices for the team for new services and projects. -
Software Development Engineer, Alexa Smart Home CamerasAmazon Mar 2019 - May 2021Seattle, Wa, Us• Led evaluation platform for computer vision pipelines built for real-time streaming• Built a distributed evaluation and experimentation system backed by Spark for our production CV pipeline, which processed over 500k video recordings and generated over 50 million events.• Productionized computer vision models (motion detection, object detection, face detection, and face recognition) on top of a low-latency, real-time video streaming pipeline built for computer vision.• Designed offline experiment simulations to simulate production use cases for household face recognition and person/package-in-motion detection in Python.• Created dashboards with React/Redux and integration with Jupyter notebooks for internal consumption and onboarding new third-party vendors.
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Software Development Engineer, Devices Computer VisionAmazon Sep 2018 - Mar 2019Seattle, Wa, Us• Prototyped a facial recognition computer vision pipeline for WebRTC video streams in Python using Tensorflow motion and face detection models for filtering and AWS Rekognition• Prototyped a serverless full stack application using Python Flask on AWS Lambda and React on AWS S3 for submitting user photos for facial feature extraction
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Software Engineer, Engaging Technology And Application DesignCalit2 - Uc Irvine Division Mar 2017 - Mar 2018Irvine, California, Us• Developed a children pain assessment iOS application for hospitals by using visual aids and animations as part of a research study involving 725 patients at the Children’s Hospital of Orange County -
Software Development Engineer Intern, AppstoreAmazon Jun 2017 - Sep 2017Seattle, Wa, Us• Designed an Android API to facilitate IPC between system service and Amazon apps• Implemented control protocols built on top of API for clients to send a download controls to system service• Wrote behavior-driven tests using Groovy and RoboSpock
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Howard Yu Education Details
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Uc IrvineComputer Science
Frequently Asked Questions about Howard Yu
What company does Howard Yu work for?
Howard Yu works for Uber
What is Howard Yu's role at the current company?
Howard Yu's current role is Senior Software Engineer at Uber.
What is Howard Yu's email address?
Howard Yu's email address is yu****@****zon.com
What is Howard Yu's direct phone number?
Howard Yu's direct phone number is +162623*****
What schools did Howard Yu attend?
Howard Yu attended Uc Irvine.
What are some of Howard Yu's interests?
Howard Yu has interest in Mom, I Miss You, Dessert Shop, How, Head, Little, Go To Sleep, Community, If We Get Caught Here's The Story, I Attacked The Floor.
What skills is Howard Yu known for?
Howard Yu has skills like Python, Java, Flask, Android Development, Ios Development, Web Development, Front End Development, C, Html, Css, Sql, React.
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