Na Yu, Ph.D. Email and Phone Number
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Na Yu, Ph.D. personal email
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- 10+ years working in customer-faced consulting - My current focus are ML, MLops, genAI, and AWS - Industry areas: energy, healthcare, finance, technology and so on Blogs published: How to Build a Chatbot to Q&A PDF Files Using LangChain, Amazon Kendra, & Large Language Models on Amazon SageMakerhttps://www.missioncloud.com/blog/build-chatbot-using-langchain-amazon-kendra-llms Migrate On-Premises Machine Learning Operations to Amazon SageMaker Pipelines for Computer Vision https://aws.amazon.com/blogs/apn/migrate-on-premises-machine-learning-operations-to-amazon-sagemaker-pipelines-for-computer-vision/How to Use Amazon SageMaker Inference Recommenderhttps://www.missioncloud.com/blog/how-to-use-amazon-sagemaker-inference-recommender Amazon SageMaker Best Practiceshttps://www.missioncloud.com/blog/amazon-sagemaker-best-practicesAmazon SageMaker Studio Tutorialhttps://www.missioncloud.com/blog/amazon-sagemaker-studio-tutorialA Beginner's Guide to Using Custom Metrics in Amazon SageMaker Training Jobs https://www.missioncloud.com/blog/a-beginners-guide-to-using-custom-metrics-in-amazon-sagemaker-training-jobsHow to Train Detectron2 for Object Detection in Amazon SageMaker - Series 1https://www.missioncloud.com/blog/how-to-train-detectron2-for-object-detection-in-amazon-sagemaker-series-1
Mission, A Cdw Company
View- Website:
- missioncloud.com
- Employees:
- 297
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Principal Ai Solution ArchitectMission, A Cdw CompanyAlbuquerque, Nm, Us
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Lead Gen Ai Solutions Architect / ManagerMission Cloud Apr 2024 - PresentLos Angeles, California, Us- Technical project delivery with hands-on in ML, MLops, and genAI.- Manage a team of multicultural GenAI & ML practitioners, driving consulting servicesand project execution for GenAI, ML, and MLops projects.- Participate in pre-sales calls requiring technical expertise and lead technology discussions
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Machine Learning ConsultantMission Cloud Oct 2023 - Apr 2024Los Angeles, California, Us- Led project technical management efforts, overseeing sprint planning, milestone tracking, resource coordination, budget tracking, and ensuring effective communication with client stakeholders.- Developed comprehensive project plans outlining technical processes, timelines, resource requirements, and projected expenses for solution implementation.- Provided technical insights during pre-sales engagements, assisting the sales team in scoping projects, drafting proposals, and presenting solutions to prospective clients.- Played a pivotal role in securing AWS’s Machine Learning and genAI Partner Competency for the consulting practice.- Worked on project delivery from model migration, model development, MLops workflow pipeline development, and genAI application implementation.- Published technical blogs on AWS blog website and Mission Blog website.- One highlight project accomplishment: lead a project end to end and developed an automated workflow to do video dubbing from end to end using Amazon Bedrock, Amazon Translate, and Amazon Polly; This is the customer's testimony: https://www.youtube.com/watch?v=idwmOt5z--c , and highlighted by AWS: https://www.youtube.com/watch?v=idwmOt5z--c
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Senior Machine Learning EngineerMission Cloud May 2021 - Sep 2023Los Angeles, California, Us- Machine Learning, MLops, genAL application, and AWS - customer presales work and proposal writing- solution architect design for ML, MLops, and genAI projects Below are my recent project examples. Developed Computer Vision deep learning model using Pytorch to do image segmentation using SageMaker Developed an end to end MLops workflow using SageMaker Pipeline to enable an automated workstream for data scientists migrated deep learning model from GCP VertexAI to AWS SageMaker to do distributed training
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Research MentorFreelance Jan 2019 - PresentI mentor undergraduate and graduate students to do academic research and write papers in majors of mechanical engineering and civil engineering to help them prepare for their master's or Ph.D. program application.
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Data & Analytics ConsultantSlalom Feb 2020 - May 2021Seattle, Wa, UsSlalom Consulting brings together business and technology expertise to help companies drive enterprise performance, accelerate innovation, enhance the customer experience, and increase employee productivity. Consistently recognized as one of 'the Best Consulting Firms to work for' by Consulting Magazine, Slalom delivers award-winning solutions in areas such as organizational effectiveness, business intelligence, mobility, and cloud through a national network of local offices across 16 cities worldwide. -
Vice PresidentEnergy Innovation Network Feb 2019 - Feb 2021San Jose, Ca, UsEnergy Innovation Network (EIN) is headquartered in Silicon Valley, where the high-tech industry and the energy industry are developing rapidly together. Our vision is to strengthen the exchange of technology development, research, business and policy in low carbon energy, environment, and transportation to advance a more sustainable future.Through event series, conferences, and special projects, EIN brings together industry professionals, experts, scholars and business elites in all fields in energy, environment, and transportation to promote the common development and progress of the industry in the future through cross-border collaborations. -
Senior Consultant, Central Analytics GroupGuidehouse Nov 2016 - Feb 2020Mclean, Virginia, Us► Conduct data cleaning and apply machine learning techniques in various projects ► Provide technical consulting to energy efficiency market players, including DTE, AEP Ohio, PECO, APS, Eversource, NGRID and so on.► Mentor junior consultants. ► Lead DTE Commercial & Industry building energy efficiency prescriptive program evaluation, including database review, sampling design, delivering report, and presenting to client. ► Conduct building simulations in various tools, EnergyPlus, eQuest, and Beopt, to do whole building energy performance analysis and calibration ► Implement statistical analysis on billing data and advanced metering data to estimate savings for utilities and proposed solution to improve their program design ► Lead Home Energy Report evaluations for Empower based on billing data ► San Francisco Office Women Energy Resource Group lead• “My perfect date! How an accurate measure installation date affects impact evaluation savings using AMI data”, American Council for an Energy-Efficient Economy (ACEEE), June 2020• “Cooling bonus and a methodology to quantify realized energy savings”, Association of Energy Services Professionals (AESP), December 2018 -
Research AssistantUniversity Of Notre Dame Aug 2011 - Aug 2016Notre Dame, In, Us► Developed an energy model in Matlab to simulate building energy performance and verified with EnergyPlus showing ±6% difference ► Developed model-based optimal control algorithm and implemented experiments in a Quarter-Scale military shelter, which shows 40% more power saved than using Honeywell programmable thermostat► Integrated the energy model into Revit Architecture to assist building design optimization and achieved a reduced computation time by 40% compared with using traditional design optimization method ► Developed machine Learning algorithm to train historic occupants’ schedules and make predictions -
Summer InternIbm In Ireland May 2015 - Aug 2015Armonk, New York, Ny, Us► Developed models to simulate temperature, humidity, and Carbon Dioxide evolutions in a building and validated the models with experimental data from a live building ► Configured wireless communication sniffer system to count occupants► Predicted the occupants’ number in a room and validated the results with the collected occupancy data -
Energy Sustainability ProfessionalUniversity Of Illinois At Chicago Jul 2014 - Aug 2014Chicago, Il, UsStreamlined a business model “GreenLinks” to accelerate the communications among government sectors, entrepreneurs, and universities and won the champion in the final competition -
Summer InternChinese Academy Of Sciences May 2010 - Aug 2010Beijing, Cn► Investigated fluid dynamics of muddy-seabed motions induced by a surface wave in FLUENT and proved the simulated results matched with the published journal paper
Na Yu, Ph.D. Skills
Na Yu, Ph.D. Education Details
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University Of Notre DameMechanical Engineering -
Bittiger Data Science CampData Science Fellow
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University Of Notre DameMechanical Engineering
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Huazhong University Of Science And TechnologyNaval Architecture & Ocean Engineering
Frequently Asked Questions about Na Yu, Ph.D.
What company does Na Yu, Ph.D. work for?
Na Yu, Ph.D. works for Mission, A Cdw Company
What is Na Yu, Ph.D.'s role at the current company?
Na Yu, Ph.D.'s current role is Principal AI Solution Architect.
What is Na Yu, Ph.D.'s email address?
Na Yu, Ph.D.'s email address is na****@****lom.com
What is Na Yu, Ph.D.'s direct phone number?
Na Yu, Ph.D.'s direct phone number is +157428*****
What schools did Na Yu, Ph.D. attend?
Na Yu, Ph.D. attended University Of Notre Dame, Bittiger Data Science Camp, University Of Notre Dame, Huazhong University Of Science And Technology.
What are some of Na Yu, Ph.D.'s interests?
Na Yu, Ph.D. has interest in Social Services, Traveling And Reading, Children, Human Rights, Yoga, Snowboarding, Salsa And Latin Dancing, Environment, Education, Basketball.
What skills is Na Yu, Ph.D. known for?
Na Yu, Ph.D. has skills like Matlab, Fluid Mechanics, Mathematica, Simulations, Numerical Analysis, Latex, Mathematical Modeling, Heat Transfer, Research, Numerical Simulation, Thermodynamics, Simulink.
Who are Na Yu, Ph.D.'s colleagues?
Na Yu, Ph.D.'s colleagues are Juan Antonio Cortes Cortes, Crystal Garcia, Moses Aboh, Kaitlin Gabriel, Carissa L., Chloe Bowman, Matthew Sanders.
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