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Nathaniel Christian

@nathanielchristian

Full-stack developer at Inkubator IT building client websites; also developed pesan-ai, a WhatsApp booking and customer service platform.

Indonesia

Message

At Inkubator IT, I work on website projects for multiple clients as a full-stack developer. At ITB Events, I architected and implemented websites for Sandbox 2.0 IEEE, TEDxITB, and OSKM ITB 2025, including registration, ticketing, and management systems that served thousands of users.

At Purple Box, I built an enterprise document RAG question-answering system for internal knowledge access. The pipeline reduced employee search time by about 35% and improved response accuracy by about 25% across teams.

Through piowsee.ai, I build AI solutions with two other members to meet client needs. One project, pesan-ai, is a WhatsApp-integrated customer service and booking platform with concurrent messaging, n8n workflows, and AI services.

Experience

Work history, roles, and key accomplishments

Current

Technology Associate

Current

Inkubator IT

Jul 2026 - Present (3 months)

Worked on multiple website projects from multiple clients as a full-stack developer.

Fullstack Development Web Development

Current

Founder, Developer

Current

piowsee.ai

Dec 2024 - Present (1 year 10 months)

Built various AI solutions as a full-stack and AI developer. Worked with two other members to complete client needs, including the notable project pesan-ai.

AI Fullstack Development Project Management

Software Engineer

ITB Events

Nov 2024 - Sep 2025 (10 months)

Architected and implemented full-stack solutions for multiple large-scale ITB event websites, handling registration, ticketing, and management systems that collectively served thousands of users.

Hono Scalar TypeScript Next.js Shadcn Ui Prisma PostgreSQL Supabase PostHog

AI Engineer Intern

Purple Box

Jan 2025 - Mar 2025 (2 months)

Built an enterprise Document RAG QA system using Ollama, Docker, Python, and Pinecone for internal knowledge access. Delivered a full RAG pipeline that reduced employee search time by ~35% and improved response accuracy by ~25% across teams.

Ollama Docker Python Pinecone RAG Quality Systems

Data Scientist Intern

Home Credit

Mar 2024 - Apr 2024 (1 month)

Developed multiple machine learning models for loan approval prediction and credit risk assessment, achieving 91% accuracy. Project-based internship through Rakamin Academy.

Machine Learning Loan Approval Credit Risk Assessment

Education

Degrees, certifications, and relevant coursework

Institut Teknologi Bandung

Bachelor of Computer Science, Computer Science

2024 -

Grade: 3.83/4.00

Activities and societies: Robotics (ROS2, Computer Vision), HMIF (Student Association, Technology & Research). Course Assistant: WI1102-25 Computational Thinking, WI2002-26 Data & AI Literacy, Programming Lab Assistant. Scholarship: Beasiswa Jenius, Beasiswa Bank Indonesia.

Pursuing a Bachelor of Computer Science with a GPA of 3.83/4.00, expected to graduate in July 2028. Involved in robotics, student association, and course assistant roles.