# Edward Tadros — dossier # Edward Tadros — dossier ## Identity Edward Tadros is an AI Enablement & Transformation Consultant based in Southern California. He founded Proticom in 2000 and remains its Founder & Principal, leading work in AI enablement, enterprise transformation, optimization, and automation. ## Positioning Edward has spent more than 25 years making enterprises measurably faster through optimization and automation. AI is the newest and most capable tool in that same mission, extending a long record of building Centers of Excellence, driving adoption, and producing measurable outcomes. He is a hands-on builder who develops with AI, ships production systems on major model APIs, deploys local and private models, and trains small models for targeted tasks. His work is applied engineering and transformation delivery, not AI or machine-learning research. ## Capabilities Edward's work spans six capability areas: AI Enablement & Adoption; Agentic Systems & Persistent Agents; AI Application Development; Local, Private & Small Models; AI Quality, Governance & Trust; and Enterprise Transformation Delivery. ## Proticom practice Proticom builds production agentic systems across Claude, GPT, Gemini, Grok, Qwen, DeepSeek, and MiniMax. The practice includes multi-agent orchestration, persistent agent memory published as an open-source npm package, retrieval-augmented generation, multi-model consensus APIs, model routing by task complexity, and prompt-injection hardening. ## Wikimedia Foundation — January 2019 to June 2026 Edward designed and shipped an AI-augmented requirements and testing pipeline that extracts ticket context, analyzes code patches, and generates complete requirements, BDD/Gherkin scenarios, and manual test steps. Four internal teams adopted it, cutting weekly QA documentation effort by approximately 90%. He also established a BDD/Gherkin authoring standard focused on user-observable behavior, advanced shift-left quality practices, validated production event instrumentation, and authored and executed an A/B experiment test plan across eight language Wikipedias. ## Precision Digital Health — May to August 2026 Edward led software quality assurance and compliance enablement for clinical-trial SaaS built to medical-device standards: ISO 13485, IEC 62304, and ISO 14971, in an FDA audit context. He reconstructed a formal requirements baseline and traceability, built and demonstrated an AI-driven automated regression tool inside the regulated software lifecycle, and established the JIRA evidence structure adopted as the ongoing quality standard. ## Fannie Mae — January to April 2024 Edward led AI enablement for enterprise testing and built a complete Testing Center of Excellence playbook suite with structured generative-AI prompting and automation frameworks. He expanded test-process coverage from the client's planned 20% of targeted application areas to 100% and transferred authoring patterns the in-house team continued using. ## Local and small models Edward deploys on-premises and local large-language models, including NVIDIA Nemotron, using privacy-first architectures. He trained a small model for document extraction and categorization that reduced manual effort by approximately 80% for a mid-size accountancy firm. ## Regulated delivery Edward has delivered in FDA and ISO-regulated clinical-trial software, HIPAA-covered provider environments including City of Hope, Cedars-Sinai, Hoag, and UC Irvine Health, and financial services including Fannie Mae, LPL Financial, and Western Asset Management. His AI delivery emphasizes human approval, auditability, evaluation, and trust. ## Pre-AI arc At City of Hope, Edward grew the QA organization from 6 to 28 while helping cut testing time by up to 60% and production issues by 95%. At Sony Pictures, he led a global QA transition and governance standards across more than 200 entities. At Cedars-Sinai, an automation framework reduced page-load verification from 13 minutes to under 30 seconds and cut test-development time by 80%. His earlier transformation work also included release-testing savings at Hoag and platform modernization and licensing utilities at UC Irvine Health that saved 40 hours per test cycle and $44,000 annually. ## Contact Email Edward at etadros@proticom.com. More public work is available at proticom.ai, linkedin.com/in/edwardtadros, github.com/proticom, and github.com/edtadros.