Vetted proof of
capability.

Verifies practical use of AI as a creative planning partner: generating and expanding project concepts, evaluating ideas against decision criteria and frameworks, stress-testing timelines for gaps, risks, and dependencies, and building a centralized documentation hub.

Issued directly by Google via Coursera — part of Google's official applied-AI project-management curriculum.

Shows Fauzul treats AI as a structured planning collaborator, not just a code generator — the same rigor he brings to scoping 0→1 products and de-risking delivery timelines for clients.

Verifies synthesis of multi-source data using Gemini Deep Research into comprehensive reports, building a NotebookLM research hub to summarize multimodal inputs and extract themes, standing up a custom Gemini Gem for domain-specific perspective, and grounding AI findings against verified sources.

Issued directly by Google via Coursera — part of Google's official applied-AI research-tooling curriculum.

Demonstrates rigorous, source-grounded research practice with Google's current-generation AI stack (Gemini Deep Research, NotebookLM, Gems) — directly useful for due-diligence-heavy FDE and solution-architecture work.

Verifies hands-on training in building and deploying Claude Skills: writing SKILL.md files, crafting reliable triggers, organizing skill directories, configuring tool access, and troubleshooting.

Issued directly by Anthropic — part of the official Claude Code certification track, distinct from third-party AI-tooling courses.

Demonstrates first-party proficiency in the exact skill-packaging model Fauzul already uses across his own repos, letting him scaffold team-aligned, reusable AI workflows rather than one-off prompts.

Verifies practical competence in Claude Code for AI-assisted development — from setup and advanced customization to writing prompts, managing context, building subagents, connecting tools via MCP servers, and writing hooks for deterministic control.

Issued directly by Anthropic — part of the official Claude Code certification track, distinct from third-party AI-tooling courses.

Confirms Fauzul runs Claude Code as his primary build environment, with first-party grounding in subagents, MCP, and hooks — the exact stack behind his own shipped agentic tooling.

Verifies the successful end-to-end engineering, orchestration, and containerized deployment of an autonomous, multi-lingual agentic system (NewScribe) within a highly constrained 7-day hackathon sprint.

Vetted globally by lablab.ai and NativelyAI. Out of hundreds of competitive international teams, only a selective group of teams successfully completed and submitted a fully production-grade, containerized AI agent orchestration.

Proves exceptional speed and execution capability. Demonstrates deep competence in state-of-the-art multi-agent orchestration (n8n, A2A) and practical media pipelines (Azure OpenAI + Gemini TTS) under intense pressure. Vows he is a Forward Deployed Engineer who ships, rather than just theorizing about AI.

Verifies training and expertise in managing product backlogs, prioritizing value delivery, mapping user stories, and running agile product development lifecycles as a Product Owner.

Issued by the Scrum Alliance, which has certified over 1 million practitioners globally. However, only a tiny fraction are held by CIO-level technical founders, representing an elite dual-competency in engineering management.

Validates his product management discipline. It acts as sourceable proof that Fauzul does not code in a vacuum—he designs roadmaps, aligns stakeholders, prioritizes business value, and bridges engineering with product choreography.

Verifies rigorous training in building production-grade agentic workflows, function calling, tool use, and multi-agent frameworks using Google's developer kits.

Vetted and designed directly by Google and Kaggle developer advocate teams, targeting top-tier engineers working on production agentic systems.

Demonstrates early-adopter technical competence in agent-to-agent (A2A) and tool-use methodologies directly from the creators of Gemini. Vows he works at the current absolute frontier of AI engineering.

Verifies proficiency in Angular frontend architecture, RxJS reactive programming, state synchronization, and enterprise component patterns.

Vetted SoloLearn certificate created in collaboration with the Google Angular Developer Relations team.

Proves deep frontend foundations and UX engineering roots. Shows he designs highly optimized, state-driven interfaces with strict type safety.

Verifies active engineering and deployment of decentralized smart contracts (Solidity) on Ethereum/Polygon networks, demonstrating foundational blockchain design.

Hosted by EthGlobal—the premium web3 developer ecosystem. Participants build 0-to-1 Web3 products under an intense timeline, minting a POAP proof-of-work token upon completion.

Validates highly versatile backend/smart-contract capacity. Shows Fauzul took the initiative to learn ERC-721, build in ERC-1155, deploy live contracts, and master web3 infrastructure, proving deep intellectual curiosity and technical range.

Verifies foundations of statistical analysis, mathematical data manipulation, and exploratory data science pipelines in Python.

Vetted by Kaggle, the world's leading community for machine learning and data science.

Demonstrates computational readiness to handle complex RAG pipelines, data ingestion, and statistical validation in AI backends.

Covers product lifecycle management, customer development interviews, competitor analysis, and GTM validation frameworks.

Issued by the IIBA (International Institute of Business Analysis), the global standards body for business analysis and product practice.

Indicates a long-standing, structured interest in product validation and GTM strategy long before framing himself as a CPO/CIO.

Verifies practical competence in building and training natural-language processing models using Azure Machine Learning's Automated ML pipeline, including data preparation, model selection, and evaluation.

Issued by LinkedIn, drawn from Microsoft's official AI Show curriculum on the Azure ML platform.

Demonstrates hands-on experience with managed cloud ML tooling, complementing his frontier agentic-AI work with grounding in classical NLP model training and the Azure ecosystem he already ships against.