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BrandonHarris

Professional Summary

Brandon Harris is a visionary at the intersection of art and technology, specializing in authenticity provenance systems for NFT artworks. As a leading expert in digital forensics and blockchain-based certification, Brandon develops cutting-edge solutions to combat forgery, plagiarism, and unauthorized duplication in the NFT art market. His work empowers artists, collectors, and institutions to verify the originality and ownership history of digital creations with cryptographic certainty.

Core Innovations & Technical Leadership

1. Multi-Layer Authentication Framework

  • Designs hybrid verification systems integrating:

    • Biometric signatures: AI analysis of creator-specific digital brushstrokes and stylistic fingerprints

    • Temporal proof: Blockchain timestamps correlated with independent internet archives (e.g., Wayback Machine)

    • Material DNA: Encrypted hardware fingerprints from artists' devices (GPUs, tablets)

2. Decentralized Provenance Tracking

  • Implements smart contract-based lineage records that:

    • Automatically log every transfer, exhibition, and restoration event

    • Embed curator/expert validation signatures

    • Detect spoofed metadata through cross-chain consistency checks

3. Fraud Detection AI

  • Trains deep learning models to identify:

    • Generative forgeries: GAN-generated works masquerading as human-created

    • Metadata tampering: Altered creation dates or hidden minting wallets

    • Fake editions: Unauthorized duplicates of limited-series NFTs

Career Milestones

  • Developed the ArtChain Certify protocol now used by 3 major NFT platforms (OpenSea, Foundation, SuperRare)

  • Exposed the "Digital Dali" forgery ring (2024), recovering $2.3M in fraudulent sales

  • Pioneered the first W3C-standard NFT Provenance Metadata schema

Multiple cryptocurrency logos including Ethereum, Tezos, Bitcoin, and Dogecoin are depicted over a digital grid composed of interconnected blue circles creating a wave-like pattern. The background is dark, enhancing the visibility of the logos and grid.
Multiple cryptocurrency logos including Ethereum, Tezos, Bitcoin, and Dogecoin are depicted over a digital grid composed of interconnected blue circles creating a wave-like pattern. The background is dark, enhancing the visibility of the logos and grid.

TheresearchrequiresGPT-4fine-tuningduetothecomplexityandspecificityofNFT

data.GPT-4’sadvancedcapabilities,includingitslargerparametersetandenhanced

contextualunderstanding,areessentialforanalyzingintricatepatternsanddetecting

subtlefraudindicators.PubliclyavailableGPT-3.5fine-tuninglackstheprecision

anddepthneededtohandlethenuancedandevolvingnatureofNFTfraud.Fine-tuning

GPT-4ensuresthemodelcanadapttonewfraudtactics,processdiversedatasources,

andgenerateactionableinsights,makingitindispensableforthisstudy.

A stylized image features a pastel-colored wallet surrounded by symbols of digital currency, such as Bitcoin and Tezos icons. There are also illustrative graphics resembling mountains and a play button. The background is a solid lavender color, complementing the soft tones of the design.
A stylized image features a pastel-colored wallet surrounded by symbols of digital currency, such as Bitcoin and Tezos icons. There are also illustrative graphics resembling mountains and a play button. The background is a solid lavender color, complementing the soft tones of the design.

Aspartofthesubmission,IrecommendreviewingmypastworkonAIapplicationsin

digitalassetverification,particularlymypapertitled“AI-DrivenSolutionsfor

BlockchainIntegrity:ACaseStudyofCryptocurrencyFraudDetection”.Thisstudy

exploredtheuseofAItoidentifyfraudulentactivitiesinblockchain-basedsystems,

focusingonpatternrecognitionandpredictiveanalytics.Additionally,myresearch

on“EthicalImplicationsofAIinDigitalArtMarkets”providesafoundationfor

understandingthesocietalimpactofAI-drivensolutionsinemergingdigitalecosystems.

TheseworksdemonstratemyexpertiseinapplyingAItocomplexdigitalchallengesand

highlightmyabilitytoconductrigorous,interdisciplinaryresearch.