Daniel Pang Email & Phone Number
@adobe.com
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Who is Daniel Pang? Overview
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Daniel Pang is listed as Machine Learning Engineering Manager at Adobe, a with 51 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at adobe.com and a matched LinkedIn profile for Daniel Pang.
Daniel Pang previously worked as Founder at D.P.I. Research and Investor at Various. Daniel Pang holds Bs, Engineering And Applied Science from Caltech.
Email format at Adobe
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AeroLeads found 1 current-domain work email signal for Daniel Pang. Compare company email patterns before reaching out.
About Daniel Pang
Specialties: Mentorship, Machine Learning Management, SEO, Advertising, Mobile, Banking, Finance, Telecommunications, Manufacturing, Purchasing and Inventory Management, Scrum Master, Agile Development, Project Management, Software Development Process Engineering, Recruiting and Hiring, Requirements Gathering, Performance Evaluation
Listed skills include Hadoop, Xml, Agile Methodologies, Apache Pig, and 32 others.
Daniel Pang's current company
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Daniel Pang work experience
A career timeline built from the work history available for this profile.
Founder
Specializing in helping companies collect, interpret, and monetize data. Clients include WalmartLabs, GE Digital, and Ebay.
Investor
I invest in novel ideas that have the potential to create or expand markets. I've been an investor in the AI/ML space since 2017, but my current focus is on outer space companies.AirBnb ( Public Dec 10th 2020 )Planet Labs ( Public Dec 8th 2021 )SpaceXStripeZiplineLuminous ComputingOrbital Assembly CorporationFormulateFlumePlaygroundContract Wrangler ( Acquired )SQLStream ( Acquired )Root.ai ( Acquired )HelloAvaDeep SentinelBlushHelium ( Nova Labs )DianthusDoorsteadMetascouterConsiderBeyondRupaHealth ( Acquired )Kura Technologies EquitylistItemFarmNeuralinkFlexbaseReleaseInpharmDLofty AIKino AIX.aiGroq
Advisor And Investor
Advisory role involved connecting the CEO to funding sources and the CTO to technical talent.
Business Development And Investor
Introduced SQLStream to a Fortune 10 company who eventually became a client.
Consulting Data Scientist
Image detection workflow- Developed algorithms to detect certain banned images- Streamlined data flow that processed over 20M images daily and reduced processing time from 3 days to one day using Python, Scala and Hive/HadoopContent enrichment impact- Wrapped the Causal Impact R package within a Python workstream to enable internal users to measure the impact of content enrichment on item sets. - This allowed users to quickly evaluate ROI related to their content enrichment efforts
Consultant, Data Engineering And Analytics Group
Power Water, and Gas cycle detection - Developed algorithm to detect cycle events for time series data generated by power turbines - Architected and implemented data flow needed to extract raw data and derive cycle eventsAviation Rapid Data Forensics- Data Engineering for airplane engine and flight statistics- Worked with data scientists to convert standalone predictive algorithms into working distributed modelsPredix Analytics Certification- Member of committee determining analytics model certification for the Predix platform
Big Data Consultant
- Architected, implemented, and rolled out the production Hadoop cluster for the Ebay Classifieds Group based on CDH4.3- Implemented search-related features using Pig 11.- Currently working on improvements and additional features for the analytics platform.- As of Sept 2014, finishing up a POC using Spark Streaming and Kafka.
Team Lead - Advertising
- Led the advertising team to improve all aspects of the RR ad server including inventory forecasting, pacing, campaign configuration, and reporting.- Improved forecasting and pacing algorithms and initiated reporting and notification projects.- Scrum Master for Platform and Advertising groups.- Worked with Integration Engineers, Relationship Managers, and customer IT departments to architect solutions and ensure successful deployments.- Worked with Ad Operations and designers to onboard new campaigns with customized flows and creatives.- Managed teams of 5 to 7 engineers involved with up to 4 separate projects.
Team Lead - Platform
- Led team that re-architected backend infrastructure. Major storage and processing components were converted from Postgre and DB scripts to use Hadoop, Avro, and Pig. Over 50 backend processes were either deprecated or converted to use pig scripts. Processing times were reduced and DB usage reduced from 600GB a month to 20GB.- Re-architected feed infrastructure to streamline customer deployments, increase processing performance, introduce feed validation and data verification, and enhance code readability and code test coverage.Richrelevance is the leading provider of next-generation personalization and product recommendation tools for enterprise-class eCommerce sites, including WalMart.com and Sears.com. The company’s suite of SaaS-based offerings, including richrecs™, richmail™, and myrecs™, are easily integrated and drive a range of key performance indicators by enhancing the entire shopping lifecycle, from interception through engagement to re-interception. Built on the enRICH™ platform, richrelevance products offer robust merchandiser control and employ over 30 different recommendation types with cross-placement optimization and a closed-feedback loop to display relevant, clearly-explained product recommendations. Founded and led by the former head of Amazon’s Personalization R&D team, richrelevance is headquartered in San Francisco.
Technical Lead
Involved in various capacities in the development and rollout of the Vodafone Personal Album and Personal Backup services in the UK and German markets.Developed POCs involving Second Life and Facebook to demonstrate new services for Vodafone users,Responsible for Billing and Personalisation components in the Vodafone Live! Platform used by millions worldwide.
Lead Engineer
Worked with Evant's retail forecasting engine. Responsible for development in the UI and database components of the product. Customers using our product will be able to control inventory and hence cost throughout the year.
Lead Engineer
Worked on Cygent's telecom provisioning software. Responsible for architecture, design, and development of the Cygent Tools product.
Developer Manager
Primarily responsible for localization features in the PeopleTools runtime client and panel processor. Also responsible for development of the Peoplesoft Java Applet client. The PeopleTools/PeopleCode suite of products are used by app developers, professional services, and 3rd party vendors to customize Peoplesoft solutions for our customers.
Colleagues at Adobe
Other employees you can reach at adobe.com. View company contacts for 51 employees →
Salih Karakaya
Colleague at AdobeIstanbul, Türkiye, Turkey
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KR
Kinjal Rathva
Colleague at AdobeAhmedabad, Gujarat, India
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MH
Mh Hafidz Firman Priambodo
Colleague at AdobeSemarang, Central Java, Indonesia
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CB
Cynthia Brown
Colleague at AdobeLos Angeles Metropolitan Area, United States
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MA
Muhammad Ammar Hassan
Colleague at AdobeLos Angeles, California, United States
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RI
Ronald Ih
Colleague at AdobeSan Francisco Bay Area, United States
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SX
Steven Xu
Colleague at AdobeMelbourne, Victoria, Australia
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FG
Fateme Ganji
Colleague at AdobeSweden
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CN
Ch Naeem Babu
Colleague at AdobeLahore, Punjab, Pakistan
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AS
Alex Smith
Colleague at AdobeSaint Johns, Florida, United States
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Daniel Pang education
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Caltech
Frequently asked questions about Daniel Pang
Quick answers generated from the profile data available on this page.
What company does Daniel Pang work for?
Daniel Pang works for Adobe.
What is Daniel Pang's role at Adobe?
Daniel Pang is listed as Machine Learning Engineering Manager at Adobe.
What is Daniel Pang's email address?
AeroLeads has found 1 work email signal at @adobe.com for Daniel Pang at Adobe.
Where is Daniel Pang based?
Daniel Pang is based in San Francisco Bay Area, United States while working with Adobe.
What companies has Daniel Pang worked for?
Daniel Pang has worked for Adobe, D.P.I. Research, Various, Contract Wrangler, Inc., and Sqlstream, Inc..
Who are Daniel Pang's colleagues at Adobe?
Daniel Pang's colleagues at Adobe include Salih Karakaya, Kinjal Rathva, Mh Hafidz Firman Priambodo, Cynthia Brown, and Muhammad Ammar Hassan.
How can I contact Daniel Pang?
You can use AeroLeads to view verified contact signals for Daniel Pang at Adobe, including work email, phone, and LinkedIn data when available.
What schools did Daniel Pang attend?
Daniel Pang holds Bs, Engineering And Applied Science from Caltech.
What skills is Daniel Pang known for?
Daniel Pang is listed with skills including Hadoop, Xml, Agile Methodologies, Apache Pig, Java, Machine Learning, Sql, and Project Management.
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