Lightweight social layer for generative AI. Extensible, flexible, decentralized. Generative agent runtime at configsecret.com

Advanced privacy preserving computation and decentralized monetized data liquidityEquideum Health, a ConsenSys Mesh portfolio company and ConsenSys partner formerly known as ConsenSys Health, builds Web3 person-centered healthcare and research networks called Data Integrity and Learning Networks (DILNs). DILNs feature self-sovereign identity, fine-grained verifiable consents, advanced privacy preserving computation, and decentralized data liquidity across enterprise and individual data silos. DILNs are implementations of the company’s Elevated ComputeTM platform, powered by Ethereum, tokenization, decentralized artificial intelligence (AI), and confidential computing. Equideum Health’s DILNs prioritize populations with uniquely complex healthcare needs and aim to improve population health and clinical outcomes by impacting access, equity, quality, personalization, engagement and empowerment. A founding member of the Decentralized Trials & Research Alliance (DTRA), Equideum Health is innovating in the field of privacy-preserving clinical trials matching, e-consent, and precision medicine applications. As an active participant in multiple Linux Foundation organizations, the Enterprise Ethereum Alliance and IEEE SA Open initiatives, Equideum Health is driving standards development and harmonization efforts necessary for the success of healthcare public-private partnerships in a Web3 world.

Founding member, technical contributor off-chain Trusted Execution

Creating Ethereum-adjudicated privacy-in-depth off-chain compute for healthcare

Creating Ethereum-adjudicated privacy-in-depth compute for healthcare

Produce machine learning verifiable and privacy-preserving compute systems integrated with Ethereum blockchain

Produce deal flow and provide technological due diligence for open deals on the ConsenSys Coven investment platform

Applied research, compute system architecture development

Data privacy and smart contract system architectures. Integration and strategy development. Product launch, partnership and investment readiness assessments

Contributor to next generation blockchain application design

Contributor to research work and BitLicense proposal response documents

International team roster available at http://cryptortrust.com/advisory-boards/. North America team roster of advisory board members is found at http://cryptortrust.com/advisory-boards/advisory-board-north-america/.

IPFS and Ethereum standalone stack and integration with Alexandria stack providing an artist-instituted paywall for media. Created Solidity-based ICO and DAO holacratic and constitutional smart contract systems providing initial crowdfund offering and associated decentralized governance mechanism.

Assembled world-class analytics team and technology stack: graph analytics, supervised learning, unsupervised learning based on Apache Spark, scala, node.js, python, and neo4j. Creator of first real time transaction risk scoring analysis based on blockchain.

ResponsibilitiesSystem design & creation. Resolve issues associated with identity, privacy & trust in distributed transactions.AccomplishmentsCo-designed public decentralized trust system employing distributed consensus. Created public decentralized trust system implementation with token identification layer.Skills UsedNamecoin, Twitter API, Redis

ResponsibilitiesRipple ledger data analysis. Created and upgraded internal & public REST interfaces to ledger internals. Node.js with CouchDB MapReduce.AccomplishmentsProductization of RippleCharts RESTful web services (create & modify APIs upon internal & external design requests), data integrity (error correction & proof of validity), & data infrastructure (transition from development- to production-grade servers) for productization of RippleCharts v2.Skills Usednode.js, CouchDB, MapReduce, AWS

Production-grade search, natural language processing & organizational predictive analytics. Chef, AWS, ElasticSearch & Python.

Big data for real estate, API interfaces. Data hacker (acquisition, analysis, archiving) & offshore team manager. Led technical development, hands-on PHP server and iOS client development.

Created first drafts of preliminary iOS applications. Early adopter & evangelist of Ripple (one of first hundred wallets, now over one million).

Mobile device biometrics & ambient data API architecture and application design. Led server- and client-side development. Launched more than six mobile games for applied biometric/ambience APIs within mobile application space. iOS and Android. These mobile apps include active-participation themed video gamesRunning with the Bulls 2012 (http://www.148apps.com/app/541088995), Olympic Games 2012 (http://www.148apps.com/app/545515701), and Halloween 2012 (http://www.148apps.com/app/560916022).http://allthingsd.com/20120926/for-explorence-all-the-worlds-a-fitness-game-video/

Reverse Engineering and Security Lead for Android and iOS SDK releases. I created & led team responsible for analyzing security of high-definition video streaming SDK products prior to release.

Security architect and SDK development leader for Android and iOS platforms. I led the team responsible for Android and iOS SDK security of best-in-class video streaming products including HBOGo and XFINITY On Demand..

Transitioned skunkworks software to production. Responsible for secure coding and secure architecture, including education of department's developers and managers. Responsible for Android technology rollout across Motorola division.

Skunkworks development of next-generation high-definition video consumption and distribution software.

Embedded systems firmware engineer. Responsible for oversea factory teams during secure loading of device private keys. Responsible for the design of firmware modules for satellite, broadband and network systems.

Machine Smarts developed customized robot control system APIs based in machine learning. Participant in DARPA Grand Challenge 2005. Later founded as a company offering an iOS machine learning SDK and augmented reality applications.

Created web service interfaces for big data within the National Geophysical Data Center in Boulder, CO. Designed and introduced user interface innovations, such as quick loading infinite zoom features.

Led organization's growth to largest wake-boarding school in the country. Evaluated incoming employees, managed incoming staff, led staff training & staff safety training, directed handicap- & blind-skiing events, and trained the lead staff.

Acquisition and analysis of big data (natural language processing data) from normal, Down syndrome, Williams syndrome, and language impaired populations employing neuroimaging (e.g., EEG and ERP) techniques.

Acquisition and analysis of big data (natural language processing data) from normal, Down syndrome, Williams syndrome, and language impaired populations using behavioral (e.g., reaction time study) techniques.