Projects

Role

Co-Founder & Full-Stack Engineer

Responsibilities

• Co-founded the studio and architected the full-stack manufacturing platform from the ground up
• Built the Next.js frontend and NestJS backend with TypeScript across the entire stack
• Developed Superslice, an internal slicing system for production workflows
• Integrated Midtrans payment gateway and RajaOngkir shipping calculation for automated commerce
• Designed cloud-based file upload and storage infrastructure using Cloudflare R2 for 3D assets
• Designed the web-based ordering flow for custom fabrication services inspired by industrial manufacturing platforms like PCBWay

Features

• Manufacturing File Pipeline — Cloud-based file handling with Cloudflare R2 for 3D model uploads, asset storage, and manufacturing file management
• Custom Slicer (Superslice) — Internal slicing system built to support production workflows and prepare uploaded models for manufacturing
• Commerce Integration — Midtrans payment gateway and RajaOngkir shipping calculation to automate ordering and fulfillment for Indonesian customers
• Production Workflow — Users upload custom 3D files, configure print settings, calculate manufacturing costs, place orders, pay, and track submissions

Challenges

• 01Designing a web-based ordering flow for custom fabrication services that translates industrial manufacturing UX into 3D printing
• 02Managing upload and storage pipelines for large user-submitted 3D assets
• 03Building internal slicing infrastructure to convert uploaded models into production-ready print configurations
• 04Maintaining a unified TypeScript architecture across frontend and backend for rapid iteration

Key Learnings

• 01Translating industrial manufacturing workflows (PCBWay-inspired) into a consumer-facing 3D printing platform
• 02Building a custom slicer (Superslice) for automated production preparation
• 03Integrating payment and logistics infrastructure for a full commerce-enabled manufacturing service
• 04Architecting full-stack TypeScript applications with NestJS and Next.js for maintainability

Role

Systems Engineer & Pipeline Architect

Responsibilities

• Architected end-to-end autonomous video generation pipeline from content ingestion to YouTube publishing
• Built configurable video profile system allowing dynamic customization of aspect ratio, resolution, subtitle positioning, AI visual behavior, scene composition rules, and rendering presets
• Migrated initial n8n prototype into a dedicated backend service architecture for scalability and maintainability
• Designed asynchronous queue workers to prevent concurrent FFMPEG jobs from saturating VPS resources
• Integrated ElevenLabs TTS, Whisper transcription, and Stable Diffusion into a unified multi-stage pipeline
• Implemented Google OAuth-based multi-channel YouTube publishing with dynamic profile routing

Features

• Content Acquisition — Scrapes real-time news/articles via Crawl4AI, extracts headlines and article content from trusted sources, triggers workflows via webhooks
• AI Content Generation — Converts news articles into short-form YouTube Shorts scripts, generates narration via ElevenLabs TTS, transcribes audio into word-level timestamps using Whisper
• Scene Orchestration — Splits scripts into scene-based segments, matches each segment to precise narration timestamps, generates AI visuals for every scene dynamically
• Video Rendering Pipeline — Uses FFMPEG to render scene clips based on exact segment durations, concatenates segments into final composition, burns dynamically positioned subtitles, synchronizes narration/subtitles/visuals automatically
• Publishing Infrastructure — Uploads videos automatically to YouTube, supports multiple YouTube channels through Google OAuth, routes automations dynamically based on selected video profiles
• Queue-Based Rendering — Designed asynchronous job queue workers to prevent multiple FFMPEG rendering jobs from running simultaneously on limited VPS infrastructure, preventing CPU/RAM exhaustion and pipeline slowdowns
• Fault-Tolerant Processing — Implemented stage-based processing and recovery mechanisms to prevent total pipeline failure when individual generation steps fail

Challenges

• 01Maintaining accurate alignment between AI narration, word-level subtitles, scene timing, and AI-generated visuals across the entire pipeline
• 02Optimizing long-running FFMPEG rendering jobs on constrained VPS infrastructure using queue-based concurrency control
• 03Integrating speech, language, transcription, rendering, and image generation systems into a coherent autonomous pipeline with recovery at each stage

Key Learnings

• 01Designing event-driven automation architectures that gracefully handle failures at any pipeline stage without losing progress
• 02Building resource-efficient rendering infrastructure with queue workers for production batch processing
• 03Engineering configurable, profile-driven systems that allow non-technical users to customize complex automation behavior
• 04Recognizing when to migrate from low-code prototypes (n8n) to dedicated backend services for scalability

Role

AI Automation Engineer

Responsibilities

• Architected end-to-end content automation pipeline from news ingestion to social media publishing
• Integrated Flux image generation models for contextually relevant crypto visuals
• Built NestJS backend service to orchestrate n8n workflows and handle API integrations
• Implemented automatic scheduling and posting to Instagram and Threads platforms

Challenges

• 01Managing API rate limits across multiple social platforms while maintaining posting schedules
• 02Optimizing Flux generation costs while maintaining image quality and relevance to crypto news
• 03Handling diverse content formats (images, captions, hashtags) across Instagram and Threads

Key Learnings

• 01Designing fault-tolerant automation pipelines that gracefully handle API failures
• 02Orchestrating multiple AI services (image generation, news fetching) into a cohesive workflow
• 03Cost optimization strategies for AI API usage in production systems

Role

AI Automation Engineer

Responsibilities

• Architected end-to-end chatbot workflow using n8n for message routing and AI processing
• Integrated Deepseek LLM for context-aware responses to public education inquiries
• Implemented WAHA (WhatsApp HTTP API) for reliable WhatsApp connectivity
• Built admin handoff feature allowing users to request live chat with staff within a 10-minute window
• Designed Redis-based rate limiting to prevent spam and abuse
• Configured smart message filtering to bypass group chats and broadcast messages

Features

• Deepseek LLM for intelligent public inquiry responses
• Admin handoff with 10-minute live chat request window
• Redis-based anti-spam to prevent message flooding
• Ignores group messages and broadcast lists

Challenges

• 01Ensuring the admin handoff window reliably expires after 10 minutes without leaving sessions dangling
• 02Tuning Redis rate limiting to block spam while allowing legitimate rapid-fire questions
• 03Handling WAHA connection stability for 24/7 uptime

Key Learnings

• 01Designing production-grade WhatsApp chatbots with n8n workflow orchestration
• 02Implementing real-time admin handoff mechanisms within messaging platforms
• 03Building anti-spam systems with Redis for high-throughput messaging environments

Role

Full Stack Developer & IoT Engineer

Responsibilities

• Participated in designing and building an IoT device for environmental sensing used in this project.
• Conducted site surveys and installed 7 IoT sensors across 3 different plantation locations.
• Participated in developing the MySalak application and implemented the notification feature in the app.

Key Learnings

• 01Deploying IoT sensors in real agricultural environments with LoRa communication
• 02Building PWAs that serve farmers with limited connectivity in rural areas
• 03Cross-disciplinary collaboration between engineers and agricultural scientists

Project Stats

Role

Frontend Developer

Responsibilities

• Implemented core features for the plasma module, enabling effective registration and management of partner farms
• Worked closely with backend developers to ensure seamless API integration and data consistency across the plasma module
• Identified and fixed bugs to enhance app stability and user experience on both Android and iOS devices
• Actively contributed to Agile workflows through daily stand-ups, sprint planning, and regular retrospectives

Features

• Daily Unit Operation Management
• Plasma Management
• Feed Stock Management

Key Learnings

• 01Building offline-first mobile experiences for agricultural field workers
• 02Managing complex state in React Native with Zustand across multiple modules

Role

Frontend Developer

Responsibilities

• Implemented new UI components and screens based on design specifications using React Native and TypeScript
• Collaborated closely with backend developers and project managers to ensure seamless integration of features
• Debugged and resolved issues to ensure smooth functionality across both Android and iOS platforms
• Participated in Agile ceremonies including daily stand-ups, sprint planning, and retrospectives

Features

• Employee Attendance
• Overtime Management
• Timesheets Management
• Employee Leaderboards
• Automatic Payroll

Key Learnings

• 01Building enterprise-grade HR systems with complex business logic on mobile
• 02Designing responsive UI that handles large datasets (employee records, timesheets)