Hamid Albar

Computer Science graduate from Universitas Diponegoro (GPA 3.64/4.00) who builds RAG-based AI agents with data security and production readiness in mind, not just LLM API calls. Designed a helpdesk automation system using Gemini API, ChromaDB, PII masking, and a human-in-the-loop flow; led a 6-person team building a YOLOv8/TrOCR computer vision pipeline; and evaluated 39 CNN architectures for a thesis project, reaching 94% validation accuracy. Seeking an AI Engineer role that requires turning business requirements into measurable, dependable AI workflows.

Machine Learning Lab Assistant at Universitas Diponegoro (2023-08 – 2023-11)

Part-time

• Mentored students through machine learning lab sessions covering data preprocessing, model development, and model evaluation.
• Reviewed Python code and debugged models across weekly lab submissions, identifying recurring issues in preprocessing pipelines and training configurations.

Bangkit Academy Machine Learning Cohort at Google, GoTo, and Traveloka (2023-08 – 2023-12)

• Led a team of 6 members; responsible for meeting coordination, brainstorming, problem solving, and version management using Git (repo: github.com/albaruzz/Caps).
• Trained YOLOv8 and TrOCR models for detecting helmets, license plates, and expiration dates of special motorcycle plates; total dataset of 534 images.
• OCR preprocessing: regex & pandas (remove spaces/non-alphanumeric characters, validate patterns).

Web Developer (Intern) at Pondok Kyai Galang Sewu (2023-01 – 2023-04)

Internship · School information system (Madrasah Diniyah)

• Built a full-stack school information system for managing student records, schedules, and grades, including database integration.
• Conducted functional testing and business requirements analysis with the institution to ensure the system matched their operational workflow.

B.Sc. in Computer Science – Universitas Diponegoro (2026-07-23)