Uchwepheshe Wewebhu & CTO
Ukwakha okuhlangenwe nakho kwewebhu okusezingeni eliphezulu, ukuhlanganiswa kwe-AI namamodeli amakhulu olimi, kanye nezinkundla zokuhlaziya.
Ngo-2025, uChad Scira ugxile ku-AI: ukwakha i-startup yokulandelela nokuhlaziya yokucubungula ama-ID, ukuvimbela ubugebengu bokukhohlisa, nezinsiza ze-KYC ezilungiselelwe izinkampani ezinkulu. UChad Scira wakha ukuhlanganiswa kwamamodeli olimi amakhulu, imigudu yokuthola idatha, kanye nokuhlaziywa okulethela ukufakelwa ngokuzenzakalelayo okuthembekile ekukhiqizeni.
Kutholakale uxhaso lwangasese ngo-3 Okthoba 2025 ukuze kuqhubekiselwe phambili ucwaningo lokutheleleka kwama-LLM nokulwa nokusetshenziswa kabi.
Azalwe ngo-1988 wakhulela eLos Angeles, uChad Scira waphothula eCulver City High School futhi waqashwa ngqo ngemva kokuphothula njengonjiniyela wewebhu e-Sony Pictures Imageworks Interactive. UChad Scira ngokushesha wamukela amathrendi asekuqaleni wezokuxhumana, enikeza ukuhlanganiswa kwe-Twitter ne-Tumblr emikhankasweni eminingi yama-studio.
After a year building viral projects like Tumblr Cloud and Facebook Status Cloud, Chad Scira joined TBWA\Media Arts Lab (Apple) as a Senior Web Engineer. Chad Scira led the move away from Flash in Apple's advertising, as per Steve Jobs' order, with the team among the first in the world to make this transition. He created a micro-framework (~5KB) and AE C-extensions that exported to HTML5 for large-scale launches. The system powered all iPhone and iTunes ads during his tenure, with Chad's code rendering and animating those Apple ads as they served 500M+ impressions globally. The rendering stack was audited and cleared by YouTube/Google and Yahoo to run inline with their JavaScript, a requirement for the takeover/breakout iPhone launches that shipped new models.
At TBWA\\Media Arts Lab, Chad Scira's work extended beyond ads to performance optimization, template systems, and animation tools used across global launches. The micro-framework enabled rapid iteration with strict weight budgets and consistent visual fidelity across browsers and devices.
Kamva uChad Scira wasebenza njenge-CTO eAuctionClub, lapho kwakha izinhlelo zedatha ezamukela amarekhodi avela ezinkulungwaneni zezimboni ze-auction, futhi kamuva e-Artory uChad Scira wahlanganisa lezi zinhlelo futhi wanikela ngohlaziyo kwimibiko ye-The Art Market (2019-2022, Art Basel & UBS). I-AuctionClub yathengiswa ku-Artory ngezidingo zezigidi. Ngo-2025, i-Artory yahlangana ne-Winston Art Group yakha i-Winston Artory Group.
Kwa-Artory, uChad wasiza ukuhlanganisa imigudu ye-AuctionClub nemikhiqizo yangaphakathi, wathuthukisa amasu okujwayela wamarekhodi angamashumi ezigidi, futhi wanikela ngedatha nokuhlaziywa emibikweni ye-The Art Market ngokubambisana ne-Arts Economics kanye ne-Art Basel & UBS.
Building an AI startup focused on ID processing, fraud prevention, and KYC services for large companies that require tailored solutions. Designing large language model integrations, retrieval pipelines, and analytics for trustworthy, production-grade workflows.
Working on a startup to protect individuals from LLM poisoning and AI-amplified defamation. Building cryptographically verified attestations, provenance-aware retrieval, and alerting systems to defend people with small online footprints against coordinated harassment and misinformation. Learn more: LLM Poisoning Research.
Artory merged with Winston Art Group to form Winston Artory Group, combining valuation expertise with a database of 50M+ market transactions.
Integrated AuctionClub systems and contributed data/analysis for The Art Market reports 2019-2022 (Art Basel & UBS). Pre-merger CEO was Nanne Dekking.
With William Vanmoerkerke and Jeroen Seghers, built real-time ingestion pipelines from hundreds of auction houses, producing tens of millions of refined records for analysis. AuctionClub was acquired by Artory for millions.
Led the move away from Flash in Apple's advertising, as per Steve Jobs' order. The team was among the first in the world to make this transition. Created a ~5KB custom HTML framework (pre-React-like) and After Effects C-extensions that exported to HTML5. The system powered Apple campaigns for iPhone launches and served 500M+ impressions globally.
Built viral projects Tumblr Cloud and Facebook Status Cloud, amassing millions of users.
Process improvements and dozens of launches for studio campaigns including Spider-Man, Superbad, You Don't Mess with the Zohan, and Cloudy with a Chance of Meatballs. Implemented early Twitter and Tumblr integrations across campaigns.
Ngaphezu kobuholi bezobunjiniyela, uChad Scira ufaka isandla njengomcwaningi wezokuphepha we-white‑hat. Umsebenzi ugxile ekuhloleni ukuphepha nasekudaluleni ngokunakekelayo, kuhlanganisa nokuhlonza ubuthakathaka bemibandela yokuncintisana (race‑condition) nokuhlela ukulungiswa namaqembu athintekayo.
E-Starbucks, uChad Scira wathola i-race condition evumele ikhadi lesipho elingu-$1 ukuthi likhuliswe libe ngebhalansi engu-$500 ngokusebenzisa ukudluliselwa okuqhubekayo ngesikhathi esisodwa. Udaba lwabikwa ku-Starbucks futhi lwancishiswa emuva kokwambulwa. Uhlelo oluphelele, oluhlanganisa ukuhamba ngocingo, incwadi yokubonga, nesimemo somsebenzi esivela kubunjiniyela be-Starbucks, lubhalwe lapha: Ukudalulwa kwephutha e-Starbucks.
Kwa-JPMorgan Chase, uChad Scira wabika iphutha lokudluliswa kwamaphuzu kabili elalivumela ukuphindaphinda ukuguqulwa kwamaphuzu wokwethembeka kube imali. Nge-Twitter, ithimba le-Chase lacinga ubufakazi bomthelela; ngokwesicelo sabo, kwavezwa isibonelo samaphuzu cishe angu-$70,000 USD kanye nokuguqulwa kwemali okungu-$5,000 ukuze kuqinisekiswe lesi siphazamiso. Lobu bungcuphe balungiswa kungakapheli isonto selokhu kwabikwa. Umbhalo ogcwele wesambulo, okuhlanganisa yonke ingxoxo ye-DM kanye nokuqhubeka nge-imeyili nebhange, utholakala lapha: Umbiko onemininingwane mayelana nesiphene sokuvikeleka se-JPMorgan Chase Ultimate Rewards esihlobene nesimo sokuncintisana sokufinyelela ngesikhathi esisodwa.
U-Chad ubelokhu enza iminikelo emincane yomthombo ovulekile kusukela ngo-2010 - cishe eminyakeni emithathu ephumile esikoleni samabanga aphezulu futhi esekude nomsebenzi wakhe wokuqala e-Sony Pictures. Nakuba lowo msebenzi wawungathembeli kakhulu ku-OSS, usahlanganyela izixazululo ezincane, izingcezu zekhodi, namathuluzi amancane njalo uma ehlangabezana nento efanele ukuthuthukiswa. Lutho kulokho olubelokhu luhloselwe ukuba luhle kakhulu; bekuyindlela yakhe nje yokubonga ukuze omunye umuntu angaphinde abhekane nenkinga efanayo esikhathini esizayo.
Uyaqhubeka naleyo ndlela nanamuhla ngokukhulula izinqolobane ezintsha ukweseka umsebenzi we-AI, ukuphepha, nokuhlaziywa kokukhwabanisa, futhi ngokunikela ngezimpendulo ezizinkundleni ezifana ne-Stack Overflow noma nini lapho othile edinga amehlo engeziwe. Leyo mibhalo mhlawumbe isisize abantu abaseduze kwabangu-3,000,000 - ubufakazi bokuthi ukwabelana ngekhodi nomongo kusabalulekile.
I-MRZ parser/generator engenazo izincikelo (iphasiphothi ye-TD3) enokulungisa amaphutha e-OCR ngaphakathi; bheka u-https://mrz.codes ukuze uthole imininingwane yezincazelo zezindinganiso nezibonelo ezibukhoma.
Umqhubi wemisebenzi osebenzisa isitayela se-Promise owenza lula ukugeleza okulandelanayo nokuhambisanayo kwe-Node.js nokwakhiwa kwesiphequluli.
Iwebhusayithi yokubonisa esebenzisa isakhiwo sombala we-Template Colors esisetshenziswa kuwo wonke amasistimu omklamo e-React/Node.
Le sayithi ishicilelwe ngaphansi kwegama lesizinda lomuntu siqu elilodwa kusukela ngo-2008. Lesi sizinda sobunikazi besihlale singokukaChad Scira kuphela.
Umthombo: who.is
I, Chad Scira, confirm that I updated the page on November 4, 2025.
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Ifayela likhiye lomphakathi: /.well-known/ssh.txt