About me

AI automation specialist with a focus on GenAI tooling, prompt engineering, and large-scale data annotation workflows. Expert in designing, testing, and optimizing AI prompt agents for content classification and moderation. Experienced in building automated pipelines using n8n, monitoring AI performance, handling edge-cases, and performing metrics-based prompt refinement. Productive in a global remote team. Experienced with CDN-based deployments (Vercel, Netlify) and CI/CD pipelines (GitHub Actions, Vercel).

What i'm doing

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    Full-Stack Web Solutions

    Designing and developing scalable, modern web applications with clean UI/UX using React, JavaScript, and Vercel.

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    AI Data Operations

    Reviewing, annotating, and classifying data to train and improve AI/LLM models with tools like ChatGPT and Hugging Face.

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    n8n & No-Code Automation

    Intelligent and powerful workflow automation built with n8n without coding. Integrate apps/services via visual builder to leverage AI to process data and improve accuracy.

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    Prompt Engineering & AI Agents

    Crafting high-quality prompts and building AI agents integrated with APIs for knowledge automation and content generation.

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    Workflow Optimization & SaaS Prototyping

    Creating SaaS prototypes and automation dashboards to streamline operations and enable AI-driven decision making.

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    AI Evaluation & Quality Assurance

    Evaluating AI outputs, testing model accuracy, and providing structured feedback to improve LLM performance and reliability.

Key Skills

  • Labelbox

    Labelbox

    I have hands-on experience using Labelbox to support AI training workflows by annotating and labeling datasets for supervised learning. My role involved tagging edge cases, resolving ambiguous data points, and providing structured feedback to improve model accuracy. Collaborating with engineering and ML teams, I helped enhance labeling guidelines and reduce annotation inconsistencies, enabling scalable and efficient data pipeline operations. I also have experience with data labeling & annotation design.

  • HF

    Hugging Face

    At Hugging Face, I contributed to building intuitive front-end interfaces that support GenAI workflows for both developers and annotators. I collaborated with cross-functional teams to improve usability of AI tools and integrate content moderation pipelines. Through this work, I became familiar with AI model behavior, helped surface misclassifications, and refined the user experience for reviewing AI-generated outputs. I have experience crafting robust prompt strategies using tools like Hugging Face.

  • ChatGPT

    ChatGPT

    I regularly use ChatGPT to assist in classifying and summarizing unstructured content, validate moderation decisions, and streamline feedback loops. My experience includes prompting GenAI to handle gray-area content, verifying AI outputs, and training models through real-world edge case examples. This enables me to work efficiently in environments where human judgment augments AI intelligence. I built prompt-based UGC moderation flows with fallback mechanisms using ChatGPT.

  • Claude

    Claude

    My work with Claude involves leveraging its contextual reasoning capabilities to moderate nuanced content. I utilize Claude to support annotation decisions, draft policy-aligned responses, and test model responses against ethical and safety benchmarks. This enhances the reliability of moderation processes while minimizing false positives in sensitive domains. I've designed and developed system prompts for AI-based chatbots serving enterprise clients.

  • next js

    Google Gemini

    Using Gemini, I analyze and classify content across various formats, including images and text, within cross-platform environments. I employ Gemini’s multimodal understanding to assist in edge case detection, data enrichment, and user-generated content moderation. This supports faster iteration cycles and provides high-quality inputs for GenAI system refinement.

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    n8n Automation

    I leverage n8n for no-code automation to support AI training and evaluation workflows. My experience includes tagging edge cases and annotating structured data for AI model training, as well as providing feedback to improve the accuracy and fairness of GenAI content classification systems. I also build automated flows with n8n to feed data to labeling teams and record AI performance evaluation results.

Resume

Education

  1. B.Sc. in Information Systems

    MH Thamrin University

    Sep 2023 — Sep 2027

    Specialized in software engineering, algorithms, artificial intelligence, and systems development.

  2. Vocational High School Diploma in Computer network engineering

    SMK Muhammadiyah 03 Ciputat

    May 2020 — May 2023

    Focused on web technologies, object-oriented programming, databases, and agile methodology.

Experience

  1. AI Automation & Workflow Associate

    Nodeflux - Hybrid (Indonesia)

    Mar 2024 — Sep 2025

    Developed automation workflows with n8n to integrate AI evaluation pipelines and streamline data coordination between model outputs and labeling teams. Built adaptive prompt-based agents to support text classification, content filtering, and verification within Nodeflux’s AI operations. Designed performance tracking systems to monitor model accuracy and reliability, ensuring continuous optimization of workflows and data quality.

  2. Coding Expertise

    Outlier - Contract

    Sep 2024 — Aug 2025

    Contributed to the development and evaluation of AI-assisted code generation workflows for enterprise-scale use cases in e-commerce and insurance industries. Improved model performance and response accuracy by testing and refining coding outputs through structured prompts, error analysis, and NLP-based assessments. Collaborated with global AI research and engineering teams to ensure scalable solutions, enhancing reliability and user experience in real-world applications.

  3. AI Data Annotation

    DataAnnotation - Contract

    Dec 2023 — Dec 2024

    Annotated and curated training datasets for enterprise-level AI chatbot and NLP systems, ensuring accuracy, consistency, and domain relevance. Classified and structured diverse customer interactions to build high-quality corpora for natural language understanding and conversational AI. Supported iterative model improvement cycles by performing quality assurance, validating outputs, and refining annotation guidelines to optimize overall AI performance.

Projects

  1. ChatGPT-Based Content Moderator

    Aug 2024 — Nov 2024

    Built prompt-based UGC moderation flow with fallback mechanisms using ChatGPT & n8n.

  2. AI Learning App (Flutter, Dart)

    May 2025 — Jul 2025

    Mobile learning app featuring AI tutoring responses and interactive modules.

  3. "Belajarin Aja Yuk!" Website (HTML, CSS, JavaScript)

    May 2025 — Jul 2025

    Let's Learn! is an interactive educational web application built using HTML, CSS, and JavaScript, with a focus on easy access and navigation of learning content. The application is hosted on Vercel, utilizes a CDN and built-in caching for fast access from multiple locations, and features an automated deployment flow (GitHub → Vercel) for consistent and efficient feature updates.

  4. NOVA's Website

    July 2025 — September 2025

    NOVA's Web is a personal platform based on React and Tailwind CSS designed with a modern, responsive interface to provide a seamless user experience across devices. The website is fully deployed through Vercel, benefiting from a global CDN, automatic caching, and the GitHub → Vercel CI/CD pipeline, ensuring optimal performance and smooth updates.

  5. Weather App

    May 2024 — Jun 2024

    The Weather App is a real-time weather web application that utilizes HTML, CSS, JavaScript, and the OpenWeather API to display location-based forecasts with a responsive design. The application is deployed through Vercel, with CDN caching support to speed up API data access, and uses the GitHub → Vercel CI/CD pipeline to ensure fast and stable releases for each update.

  6. n8n Automation

    Dec 2024 — Feb 2025

    Developed end-to-end automation solutions including an AI-powered business chat agent, an email-to-Excel integration for streamlined data management, and a Telegram chatbot for enhanced communication. These automations were designed to optimize workflows, reduce manual effort, and deliver more efficient business processes.

  7. Notion

    Aug 2025 — Sep 2025

    Designed and delivered a customized Notion template based on a client’s specific requirements, enabling better organization and productivity. The template was tailored to user needs, demonstrating adaptability in creating practical, user-friendly workflow systems.

My skills

  • Quality Assurance
    84%
  • Quality Control
    79%
  • AI Agent Design (Prompt Engineering, Evaluation Loops, Agent Scripting (ChatGPT, Claude))
    90%
  • Automation & Integration: n8n, Webhooks, API, No‑code Workflows
    85%
  • Data Analysis (Excel, Tableau, Error Pattern Detection)
    75%
  • Figma
    82%
  • Front End
    87%
  • Back End
    84%
  • Python
    82%
  • Core Prompt & AI Tools: ChatGPT, Claude, Gemini, Labelbox, Hugging Face
    98%
  • Data Annotation & Moderation (Edge case tagging, policy enforcement)
    84%
  • Collaboration Tools (GitHub, Remote Collaboration)
    93%
  • WordPress
    80%
  • Wix
    77%
  • Next.js
    81%
  • Node.js
    86%
  • HTML5
    97%
  • CSS3
    95%
  • JavaScript
    89%
  • React.js
    86%
  • Responsive Design
    88%
  • Tailwind CSS
    86%
  • Bootstrap
    85%

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