AI Engineer with 2+ years in Computer Vision, Edge AI & Automation
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Electrical Engineering student specializing in AI systems, computer vision, and edge deployment, with hands-on experience developing automation and surveillance solutions for manufacturing and TNI AD-related applications. Experienced in RAG pipelines, PostgreSQL optimization, embedded AI deployment, and workflow automation, with a focus on scalable real-world AI systems.
Universitas Negeri Semarang
Bachelor of Engineering (B.E.) · Electrical Engineering
August 1, 2022 – June 30, 2026
PT Global Data Inspirasi
Automation and Data Engineer
December 1, 2025 – Present
Yogyakarta, Special Region of Yogyakarta, Indonesia
PT Vuriko Developer Studio
Independent AI System Architect
August 1, 2025 – Present
Semarang, Central Java, Indonesia
PT Toyota Motor Manufacturing Indonesia
Computer Vision & Press Production Maintenance Intern
April 1, 2025 – July 1, 2025
Kota Administrasi Jakarta Utara, Jakarta, Indonesia
Universitas Negeri Semarang
Research Assistant (Computer Vision)
December 1, 2023 – December 1, 2024
Semarang, Central Java, Indonesia
Activity Planner: Smart Personal Strategy Assistant
June 1, 2026 – Present
Developed an LLM-powered productivity assistant integrated with the Notion API, automating daily planning workflows and reducing manual scheduling time from 30 minutes to under 1 minute.
Real-Time Accident Detection System
June 1, 2026 – Present
Engineered a CUDA-optimized YOLOv11 pose estimation pipeline for real-time posture anomaly detection, achieving 90% detection accuracy while maintaining 25–30 FPS inference performance.
Regenerative Braking Optimization System
June 1, 2026 – Present
Developed an embedded data acquisition and control system for regenerative braking optimization, increasing battery power recovery efficiency by 7% through hardware-software integration.
Google IT Automation with Python
June 1, 2026 – Present
Toyota Safety Awareness
Toyota
June 1, 2026 – Present
IBM Code Generation and Optimization
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role, particularly in environments focused on practical, real-world AI applications. Their experience spans personal projects, academic research, and industry roles (manufacturing, data solutions, AI systems for SMEs), showcasing versatility and a willingness to tackle diverse challenges. The focus on automation, efficiency, and real-time performance aligns well with fast-paced, innovation-driven teams. The candidate's continuous learning through certifications also indicates a growth mindset.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience highlight a proactive and results-oriented approach, with a focus on improving efficiency and accuracy. Their involvement in QCC investigations at Toyota suggests an ability to contribute to problem-solving and process improvement. The development of personal productivity tools and real-time systems indicates strong initiative and practical application of technical skills. The candidate's experience in diverse settings (manufacturing, military AI systems, SME solutions) suggests adaptability and a broad operational fit.