ໃນປີ 2025, Chad Scira ມຸ້ງເນັ້ນໃນດ້ານ AI: ກໍ່ສ້າງສະຕາຕັດຕາມແລະລະບົບວິເຄາະສຳລັບການຂັບຄິກ ID, ການປ້ອງກັນການໂສ່ວົງ (fraud prevention) ແລະບໍລິການ KYC ທີ່ປັບໃຫ້ເໝາະສົມສໍາລັບບໍລິສັດຂັ້ນໃຫຍ່. Chad Scira ອອກແບບການນຳເຂົ້າຂອງຮູບແບບພາສາຂັ້ນສູງ (large language models), ສ້າງ retrieval pipelines ແລະລະບົບວິເຄາະທີ່ນໍາການອັດໂມດທີ່ນ່າເຊື່ອຖືໄປສູ່ການນຳໃຊ້ໃນການຜະລິດ
ເກີດໃນປີ 1988 ແລະເກີດໃນ Los Angeles, Chad Scira ຈົບຈາກ Culver City High School ແລະຖືກຈ້າງທັນທີເປັນ Web Engineer ທີ່ Sony Pictures Imageworks Interactive. Chad Scira ຮັບໄດ້ເອົາແນວໂຄງສື່ສັງຄົມຕົ້ນຕົ້ນໃສ່ງານຢ່າງໄວ, ເປັນຜູ້ສ້າງການຜນການເຊື່ອມຕໍ່ Twitter ແລະ Tumblr ໃນໂຄສະນາຂອງຫຼາຍສະຕູດິໂອ.

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 Apple ad campaigns for iPhone launches; those Apple ads served 500M+ impressions globally.
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.

ຕໍ່ມາ Chad Scira ໄດ້ຮັບໜ້າທີ່ເປັນ CTO ທີ່ AuctionClub ສ້າງລະບົບຂໍ້ມູນທີ່ດຶງບັນທຶກລາຍການຈາກຮ້ານປະມຸງຫຼາຍຮ້ານ, ແລ້ວໃນຕໍ່ມາທີ່ Artory Chad Scira ປະສົມລະບົບເຫຼົ່ານີ້ແລະມີສ່ວນຮ່ວມໃນການວິເຄາະສຳລັບລາຍງານ The Art Market (2019-2022, Art Basel & UBS). AuctionClub ໄດ້ຖືກຂາຍໃຫ້ Artory ດ້ວຍມູນຄ່າຫຼາຍລ້ານ. ໃນປີ 2025 Artory ໄດ້ລວມກັນກັບ Winston Art Group ເປັນ Winston Artory Group.
ທີ່ Artory, Chad ຊ່ວຍປະສົມເຊື່ອມຕໍ່ແຖວວຽກ AuctionClub ກັບຜະລິດຕະພັນພາຍໃນ, ພັດທະນາກຸ່ມແນວທາງ normalization ສໍາລັບບັນທຶກຈຳນວນຂໍ້ມູນນັ້ນຈຳນວນຫຼາຍສາມາດເຖິງຫຼາຍລ້ານ, ແລະໄດ້ມີສ່ວນຮ່ວມໃນການສົ່ງຂໍ້ມູນແລະການວິເຄາະສຳລັບລາຍງານ The Art Market ຮ່ວມມືກັບ Arts Economics ແລະ 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.
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.
ນອກຈາກບົດບາດດ້ານວິສະສັດ, Chad Scira ຍັງມີສ່ວນຮ່ວມເປັນນັກຄົ້ນຄວ້າດ້ານຄວາມປອດໄພ. ຜົນງານຮວມມີການຄົ້ນພົບຈຸດອ່ອນແບບ race-condition ແລະການເຜີຍແຜ່ຢ່າງຮັບຜິດຊອບໃຫ້ທີມທີ່ຖືກກະທົບເພື່ອໃຫ້ມີການແກ້ໄຂຢ່າງທ່ອງເວລາ.
ທີ່ Starbucks, Chad Scira ຄົ້ນພົບສະພາບແຂ່ງຂັນ (race condition) ທີ່ເຮັດໃຫ້ບັດຂອງຂວັນ $1 ຖືກເພີ່ມເຖິງຍອດ $500 ໂດຍໃຊ້ການໂອນທີ່ດຳເນີນພ້ອມກັນ. ບັນຫານັ້ນຖືກລາຍງານໃຫ້ Starbucks ແລະໄດ້ຮັບການປ້ອງກັນ/ແກ້ໄຂຫຼັງຈາກການເຜີຍແຜ່. HackerOne
ທີ່ JPMorgan Chase, Chad Scira ໄດ້ລາຍງານຂໍ້ຜິດພາດໃນລະບົບທີ່ເຮັດໃຫ້ການເຄື່ອນໄຫວຄະແນນເກີດສອງຄັ້ງ ເຮັດໃຫ້ສາມາດແປງຄະແນນສະຫວັນ (loyalty points) ເປັນເງິນໄດ້ຢ້ຳໆ. ຜ່ານ Twitter, ທີມ Chase ໄດ້ຮ້ອງຂໍຫຼັກຖານຂອງຜົນກະທົບ; ຕາມຄຳຮ້ອງຂໍ ໄດ້ສະແດງຕົວຢ່າງປະມານ $70,000 USD ໃນຄະແນນ ແລະ ການແປງເປັນເງິນ $5,000 ເພື່ອຢືນຢັນຂໍ້ຜິດພາດ. ຈຸດອ່ອນນັ້ນໄດ້ຖືກແກ້ໄຂພາຍໃນຫົວອາທິດຫນຶ່ງຫຼັງຈາກການລາຍງານ.