Fajar Rizaldi

Final-year Information Systems student currently focusing on Software Development, with experience building web applications and AI-based systems, including liveness monitoring and fraud detection features. Experienced working with HTML, CSS, JavaScript, PHP (CodeIgniter), and SQL to develop functional, secure, and reliable systems. Backed by a basic understanding of UI/UX, enabling the creation of products that are not only technically sound but also intuitive and comfortable to use.

Accustomed to working in a structured manner both individually and in teams, actively honing skills through personal projects, internship programs, and intensive training, and committed to continuing to grow and make a real contribution within a software development team.

Junior Programmer Intern at BPJAMSOSTEK (BPJS Ketenagakerjaan) (2026-04-07 – 2026-09-30)

Contributed to the development of an AI-based system within the company, with a primary focus on the AI Liveness Monitoring and Fraud Detection modules, to improve the security and validity of the participant verification process. An end-to-end AI system for the automated verification of BPJS Ketenagakerjaan insurance claims. Designed with a multi-agent pipeline architecture consisting of 5 specialized agents (Document, Medical, Finance, Fraud, Decision) to process claim documents from OCR extraction through to the final decision.

• Developing and testing the AI Liveness Monitoring feature to verify user authenticity during the verification process
• Assisting with the design and implementation of a Fraud Detection system to detect suspicious activity
• Collaborating with the developer team on testing, debugging, and refining AI-based systems
• Designed and implemented a multi-agent pipeline for comprehensive claim verification
• Integrated multi-engine OCR (PaddleOCR GPU + MinerU) for accurate data extraction
• Developed a RAG system with Qdrant for retrieving medical knowledge and tariff data
• Implemented a fraud detection model using an ensemble ML approach (XGBoost + LightGBM)
• Built a modern web dashboard for monitoring and verification results
• Significantly reduced manual processing time and improved medical validation accuracy through ICD10/ICD-9-CM and Fornas (National Formulary) validation
• Used a VLM (claude-sonnet-4-6) for visual document analysis and critical field extraction
• Modular architecture that makes it easy to extend with new agents and optimize models

Web Developer Intern at PT. WICHAN INSAN NUSANTARA (2025-11 – 2026-02)

A modern and interactive web look and feel, ranging from the main display to the admin dashboard and the visitor dashboard. Built a website prototype through to tunneling using Cloudflare so it could be tested and its weaknesses identified.

• An attractive UI/UX look
• Admin dashboard and visitor dashboard
• Ability to submit applications/requests

Data Entry -- Internship at KPKNL Jakarta 2 (2021-11 – 2021-12)

Accurately entering and processing data into the company's systems or databases.

• Checking, validating, and ensuring data completeness before it is entered into the system.
• Regularly updating and maintaining data to keep information accurate.
• Managing and archiving documents and data in a structured and systematic manner

Information Systems in Information Systems – Universitas Bina Sarana Informatika (2022 – 2026)

Multimedia in Multimedia – SMKN 55 (2019 – 2022)