Paco Nathan Email and Phone Number
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Check out the "Graph Data Science" group: https://www.linkedin.com/groups/6725785/Contact: https://bsky.app/profile/pacoid.bsky.socialI work a lot within developer communities and tech events, and try to provide many pointers to learning materials, industry analysis, and so on, and connect with many people. However, if you're reaching out to me about recruiting, getting introductions in the Bay Area, seeking investments, finding a job, promoting your outsourcing team, finding a personal mentor, having someone evaluate a product, listening to you rant about "AGI", etc., GET REAL. I am not someone who can help you, I do not live anywhere near SF, nor am I a tour guide.If you persist you'll only prove to people that we need to ignore you. You're welcome.
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Principal Developer Relations EngineerSenzingSebastopol, Ca, Us -
Principal Developer Relations EngineerSenzing May 2024 - PresentLas Vegas, Nv, UsBuilding out developer relations and community development, particularly for the entity resolved knowledge graphs practice. -
Evil Mad ScientistDerwen, Inc. 2012 - PresentSebastopol, California, UsManaging Partner at the firm. Focused on open source integration for AI production use cases in enterprise: graphs, natural language, optimization, and so on. Applying theoretical and empirical tools to devise innovative solutions. A demonstrated ability to solve complex challenges. Addressing unique and difficult problems with major upside for clients. See https://derwen.ai/about -
Advisor And Board MemberArgilla Nov 2017 - Jun 2024Madrid, Madrid, EsTechnical and business advisor since the beginning; board member since 2022. Acquired by Hugging Face in June 2024. -
Venture AmplifierAmplify Partners 2014 - 2023Menlo Park, California, UsMostly as a subject matter expert, advising portfolio firms, assisting on some due diligence. -
Director, Learning GroupO'Reilly Media Jun 2015 - Jun 2018Sebastopol, Ca, UsOur team helped introduce and further develop: Oriole (live coding tutorials based on Jupyter + Docker + video); the large-scale program for Live Online Training; formative self-assessments; and overall the structured "Learning Promise" metadata for learning materials. We developed ML apps for content parsing/classification, video transcription, recommendation systems, knowledge graph across content for 200+ publishers, etc.Assisted with conferences: Strata Data Conference, The AI Conf -- specifically for hosting Exec Briefings, conducting video interviews of sponsors, etc., and as program co-chair for JupyterCon. Co-chair for Ed Foo, 2017-2018.Gave public talks on behalf of O'Reilly Media, and taught a popular live online course, "Get Started with NLP in Python". -
Director, Community EvangelismDatabricks 2014 - 2015San Francisco, Ca, Us[+5 months earlier as consultant] Coordinating the Spark Camp events, creating a certification program in partnership with O'Reilly Media, developing instructional materials for Apache Spark, teaching, coordinating curricula, evangelizing through meetups/confs worldwide. -
Director, Data ScienceConcurrent Inc. 2012 - 2013committer on the Cascading API open source project;domain expert helping guide Product and Engineering;developed sample apps and tests in Cascading, Scalding, Cascalog, PMML, R, etc.;developed machine learning libraries and PMML support;responsible for R&D of predictive modeling to analyze and manage large-scale workflows;responsible for internal analytics and reporting about customer engagement;technology evangelist and developer community manager;writing (O'Reilly, Hortonworks, etc.), webinars, and public speaking;responsible for business development and customer solutions;assisted with strategic partnering;recruiting/hiring manager.
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Director, Data InsightsImvu 2010 - 2012Redwood City, Ca, UsLed team of Data Scientists and DevOps responsible for the data-related functions of the company, ranging from data warehouse (Hive on AWS) to metrics/reporting (Pentaho) to stats analysis (R) and machine learning (Hadoop) for marketing optimization, chat topic analysis, social recommenders, anti-fraud, etc. -
Principal Software EngineerJive Software 2010 - 2010Austin, Texas, UsJoined a small team to spearhead use of "Big Data" and machine learning within Jive SBS. Assisted on aggressive staffing effort to add ~100, mostly engineers. -
Director, Data InsightsSharethis 2009 - 2010Palo Alto, Ca, UsLed efforts in machine learning and predictive analytics, for initial monetization of company data (3 yrs accumulated). Developed data infrastructure which was 100% in AWS cloud. -
Director, AnalyticsAdknowledge 2008 - 2009Kansas City, Missouri, UsBuilt a large Data Science team, to recover failing recommender system which accounted for 80% of company revenue: 5 wks to hire team, 5 wks to recover production systems. Displaced $3MM capex in Netezza with $400/day Hadoop on AWS. Became largest Hadoop deployment on EC2, and case study for development of EMR service. -
Director, TechnologyHeadcase Humanufacturing Jun 2006 - Feb 2008One of 4 founders in early-stage tech start-up backed by True Ventures. Text mining and NLP predictive analytics of social media. Initially focused on Second Life + Facebook integration. Led all technology efforts, moved company 100% into AWS when it launched. Managed teams in SLO and Russia.
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Product AuthorNeon Enterprise Software, Inc. Nov 2004 - Jun 2006Led a team of engineers in Austin and St Petersburg, Russia to develop UI for mainframe data archive product (metadata management) for Sarbanes-Oxley compliance. -
Vp, Research And DevelopmentSymbiot, Inc. Aug 2002 - Nov 2004UsLed engineering team to develop a Linux appliance for predictive analytics in network security: estimating risk metrics for network attacks in progress, and visualizing them in real-time. Runner-up for Apple Design Award, 2004. Installed at US Congress, Wildwell, etc. -
Evil Mad ScientistS.P.E.C.T.R.E. Jun 1999 - Aug 2002UsAdvised the exec mgmt and the S.P.E.C.T.R.E. cabinet on technical matters, in support of their quest for world domination. Assisted global operations teams – working under the code name "Dr. Xander" – in their assignments to eliminate Bond. Authored internal whitepaper to suggest novel methods for dispensing with evil henchmen who failed in their assigned tasks, and alternative methods for improving our shark feeding equipment. Introduced automated methodology practices for generating new industry buzzwords by applying ngram analysis to spam folders. -
President, Co-FounderFringeware Dec 1992 - May 1999Austin, TX:Founded and ran early ecommerce firm (online bookstore + physical space) specializing in "long-tail", small press publications. Edited FringeWare Review magazine; received Wired Top 10 List 1993. Produced performance art events: Robert Anton Wilson, Negativland, Kenneth Anger, Survival Research Labs, Church of the SubGenius. Pioneered chatbots/avatars in customer support along with Robby Garner (open source as JFRED)
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Cto And Board MemberBraintech May 1994 - Jun 1997Mclean, Virginia, UsAcquired technology from Odin Corp. Commercialized machine learning apps for hardware-based pattern recognition, leading into industrial robots for automotive, etc. -
Senior Software EngineerOdin Corp Jun 1990 - Mar 1994Machine learning start-up (neural nets, fuzzy logic) for handwriting recognition in mobile apps, video recognition for military targeting systems. Technical liaison with Motorola. Supported legal team during lengthy intellectual property theft lawsuit in federal court (sole material witness in the trial), working with Scotty Baldwin.
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Software EngineerMotorola Nov 1988 - Jun 1990Developed assemblers and cross-compilers for new microcontrollers, for Mac/Win/Unix. Supported sales engineering throughout Asia/Pac tour. Supported custom chip project for Toyota engine controllers. Assisted initial efforts to build chips for machine learning (neural net, fuzzy logic).
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Member Of Technical StaffBell Laboratories Jul 1986 - Nov 1988Murray Hill, Nj, UsHired into an expert systems group working on projects for telecom in Area 55. Later joined a neural network team led by John Hopfield in Area 11 (research), subsequently reorg'ed into Network Systems to help modify 5ESS (central office switch) to add X.25 integration. Later, developed one of the panels for the AT&T NOC to show a real-time map of nationwide alarms on AT&T fiber optic cables (Long Lines). Also founded the Mac User Group at Bell Labs. -
Research EngineerNasa Ames Research Center Jun 1985 - Jun 1986Moffett Field, California, UsPart-time research in Flight Guidance and Navigation branch for FAA project to build new generation of AI-assisted air traffic controller workstations. -
Cs InstructorStanford University Aug 1984 - Jun 1986Stanford, Ca, UsTeaching Fellowship in CSD, to establish the CS1E course. Now known as Residential Computing. Recruited and managed team of 15 in peer instruction, wiring up campus dorms. Won a Dean's Service Award for this work.
Paco Nathan Skills
Paco Nathan Education Details
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Stanford UniversityComputer Science (Systems) -
Stanford UniversityMathematical Science -
United States Military Academy At West Point -
California State University, StanislausComputer Science -
San Francisco State UniversityAnd Linguistics -
California Polytechnic State University-San Luis ObispoDairy Science
Frequently Asked Questions about Paco Nathan
What company does Paco Nathan work for?
Paco Nathan works for Senzing
What is Paco Nathan's role at the current company?
Paco Nathan's current role is Principal Developer Relations Engineer.
What is Paco Nathan's email address?
Paco Nathan's email address is ce****@****ail.com
What is Paco Nathan's direct phone number?
Paco Nathan's direct phone number is +165092*****
What schools did Paco Nathan attend?
Paco Nathan attended Stanford University, Stanford University, United States Military Academy At West Point, California State University, Stanislaus, San Francisco State University, California Polytechnic State University-San Luis Obispo.
What are some of Paco Nathan's interests?
Paco Nathan has interest in Agriculture.
What skills is Paco Nathan known for?
Paco Nathan has skills like Big Data, Distributed Systems, Hadoop, Machine Learning, Cloud Computing, Python, Linux, Scalability, Data Science, Open Source, Amazon Web Services, R.
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