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ABBIR A M I J E G AN

Available to hire

I’m a Computer Vision & AI Engineer with hands-on experience in machine learning applications, computer vision systems, and data analysis.

About

I’m a Computer Vision & AI Engineer with hands-on experience in machine learning applications, computer vision systems, and data analysis. I build real-time defect detection, predictive models, and data-driven dashboards for manufacturing and mobility technology. I have a strong foundation in Python, TensorFlow, PyTorch, YOLOv8, and SQL, and I’ve delivered impactful solutions for Panasonic, Perodua, and Beam Mobility. In my work, I enjoy turning complex data into clear insights and practical tools that improve processes and outcomes.

  • Joined January 2026

Languages

  • EnglishFluent
  • MalayIntermediate

Industry experience

  • Manufacturing
  • Software & Internet
  • Transportation & Logistics
  • Computers & Electronics
  • Media & Entertainment

Work experience

Front-End Development Intern · Frog AsiaJun 2024 – Jul 2024 · 2 mos

Designed responsive education websites (HTML, CSS, JavaScript, WordPress); improved resource accessibility by 25%. Created multimedia learning content to enhance user experience.

Data Analyst Intern · BRAD BANISHNov 2023 – Mar 2024 · 5 mos

Remote data analysis for coupon redemption and customer demographics using Python and SQL; optimized marketing strategy and improved campaign success by 20%. Automated data collection via Selenium, reducing manual effort by 40%. Created Power BI dashboards to track campaign performance.

Education

Bachelor of Computer Science (Data Science) · Monash University Malaysia2022 – 2025

Certifications and awards

Certified Data Analyst Specialist – Wiley Edge2024 – 2026
Panasonic Car Inspection System – AI-powered system using OCR and YOLO integrated into Panasonic's QA pipeline2030 – 2026
Perodua Part Presence Checker – Streamlit-based app with YOLOv8 for automated part verification2030 – 2026
Smart QA with AR Glasses (SHRD C) – AR-enabled defect detection system combining CNN and object detection models2030 – 2026

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