AI & Software Engineer · Software Engineer Intern at Grab · ITB IS & IT
I build agentic systems and production software, using AI agents to move from problem framing to implementation, iteration, and delivery at high volume. My work spans backend systems, applied AI, and products that turn complex decisions into clear actions.
AGENTIC SYSTEMS BACKEND ENGINEERING APPLIED AI PRODUCT BUILDS
- Current: Software Engineer Intern at Grab
- Education: B.Eng. in Information Systems and Technology, Institut Teknologi Bandung
- Engineering: Backend systems, APIs, microservices, full-stack products, and agentic workflows
- AI: Applied AI, computer vision, machine learning pipelines, and production-oriented integrations
- Builder: Founder of Cargovision, an AI cargo and container inspection startup
- Field work: OceanX Young Explorer VII, applying data analysis and AI to marine sustainability research
I care about the complete path from a messy problem to a dependable product: understanding users, making sound technical decisions, building the system, and improving it from real feedback.
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AI-powered cargo and container inspection for logistics and port operations. I co-founded the startup and built across computer vision, X-ray analysis, full-stack product, and AI reporting. Recognition: Gold Medal, Global Start-up Competition 2025 · Top 3, Pertamuda Seed & Scale 2025 Computer Vision · AI · Logistics · Product Systems |
An AI-powered export strategy simulator that helps UMKM, students, and early exporters explore markets, routes, and trade strategies. Impact: 200+ users · Top 10, Google APAC Solution Challenge 2025 Next.js · TypeScript · Node.js · PostgreSQL · Applied AI |
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Native iOS object measurement for moving and packing, exploring LiDAR, Core ML, and camera-based sensing. Swift · iOS · Computer Vision · Spatial Sensing |
Civic technology for campaign-finance transparency, AML signals, donation monitoring, and network visualization. Recognition: 3rd Place, PPATK Hackathon Python · AML · Data Visualization · Civic Tech |
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Computer-vision screening for diabetic retinopathy using retinal images, built to support more accessible early screening. Recognition: 2nd Runner-Up, Microsoft ElevAIte Hackathon Computer Vision · Healthcare AI |
A NASA Space Apps project turning satellite and environmental data into visual stories about Earth's bloom events. NASA Data · Climate · Data Visualization |
More projects: Stockpik · Envira.world · Dextektif · Smarteg · StartUs · all projects
| Role | Focus |
|---|---|
| Software Engineer Intern, Grab | Frontend, backend services, API development, and testing across production engineering workflows |
| Founder and Full-Stack Developer, Cargovision | Product direction, computer vision, inspection workflows, dashboards, and automated reporting |
| AI Engineer Intern, Telkomsel | Machine-learning workflows and predictive analytics for telecommunications data |
| Teaching Assistant, LABSI | Mentored 150+ students in enterprise architecture, business-process analysis, and IT governance |
| Shipboard Researcher, OceanX Young Explorer VII | Data analysis and AI for marine sustainability research |
Languages
Backend and systems
AI and product
Cargovision recognized at Pertamuda Seed & Scale 2025. More milestones
| Recognition | Work |
|---|---|
| Gold Medal, Global Start-up Competition 2025 | Cargovision |
| Top 3, Pertamuda Seed & Scale 2025 | Cargovision |
| Top 10, Google APAC Solution Challenge 2025 | Simutrade |
| 3rd Place, PPATK Hackathon | Cakradana |
| 2nd Runner-Up, Microsoft ElevAIte Hackathon | Fundusnap |
| TELADAN Leadership Scholarship, Tanoto Foundation | Leadership and education |
| OceanX Young Explorer VII | Marine sustainability research |
Designing systems with agency. Shipping software with intent.