Help & Supportcareers@gravityer.com
AI Engineer with 2+ years in Computer Vision, Edge AI & Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.