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Radhofan Azizi

@radhofanazizi

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I build full-stack business systems, AI applications, and cloud-deployed web platforms.

Indonesia

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I've built internal business systems at Zeta Solutions and PLN, including order, warehouse, chat, and procurement workflows using Next.js and PostgreSQL. My work has digitized manual processes, migrated 10,000+ legacy records, and delivered secure role-based access for internal users.

I also build AI and research-oriented software, from an applicant tracking system powered by FastAPI, LangChain, and LlamaIndex to reproducible machine learning pipelines. Alongside full-stack engineering, I've led 50+ computing laboratory assistants, reached national competitive programming finals, and co-authored an accepted AI/ML research publication.

Experience

Work history, roles, and key accomplishments

Software Engineer

Zeta Solutions

Jun 2025 - Aug 2026 (1 year 2 months)

Built order management, warehouse management, and internal chat features for 30+ internal users using Next.js and PostgreSQL. Migrated 10,000+ legacy records into a centralized database-backed application and developed 15+ reusable React components.

Next.js PostgreSQL React JavaScript TypeScript Qiankun Kanban Chat

Software Engineer Intern

Indonesian State Electricity Company PLN

Jun 2025 - Aug 2025 (2 months)

Built an internal Unit Price Contract management system to digitize procurement workflows and reduce manual document tracking. Developed full-stack features using Next.js and PostgreSQL, including JWT authentication, custom middleware, and role-based access control.

Next.js PostgreSQL JWT Authentication Role Based Access Control Middleware

AI/ML Research Trainee

University of Chicago

Jan 2025 - Jul 2025 (6 months)

Selected as one of 50 computer science students in Indonesia for a research training program focused on AI software engineering and reproducibility. Reproduced machine learning research papers by implementing training pipelines, running experiments, and comparing model behavior with reported results.

Python Machine Learning Research Experimentation

Software Developer Trainee

LG CNS

Jun 2024 - Aug 2024 (2 months)

Selected as one of 30 students for a 12-week enterprise software engineering residency. Completed 30+ full-stack training modules across Java, .NET, SQL, and enterprise application development workflows.

Java .NET SQL Full Stack Developer