AI/ML Engineer focused on Computer Vision
I design and deploy applied AI systems and data-centric backends for real-world settings in manufacturing and retail. My current work spans visual inspection, on-shelf availability detection, and internal AI tools for operations.
- π B.Sc. Informatics (Computer Science), Universitas Islam Indonesia β GPA 3.82/4.00
- π§ Primary interests: computer vision, edge/on-device ML, MLOps and data pipelines
- π Experience building ML solutions for manufacturing and global FMCG clients
- π Co-author of peer-reviewed computer vision paper (SINTA 2)
- π€ Presenter at ACCV CV4DC 2024, Hanoi
- π Based in Indonesia β open to remote and international collaboration
Developing AI systems for manufacturing automation, including:
- visual inspection for defect detection
- 5S monitoring
- internal AI tools for process support
Responsibilities include dataset preparation, model development, validation, and integration with internal applications.
Contributing to an end-to-end ML project for NestlΓ© (global FMCG client):
- On-Shelf Availability (OSA) computer vision system
- Indonesian retail channels (modern trade and general trade)
- dataset curation, model training, evaluation, and production monitoring
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Manufacturing AI Assistant
RAG-based assistant for manufacturing analytics and decision support.
π https://github.com/nabiilNajm26/manufacturing-ai-assistant -
GoBank β Enterprise Banking System (educational project)
Backend banking API focused on clean architecture and reliability patterns.
π https://github.com/nabiilNajm26/go-bank -
PySpark ETL Pipeline for E-Commerce Analytics
Medallion architecture, RFM segmentation, and cohort analysis.
π https://github.com/nabiilNajm26/pyspark-etl-pipeline -
SmartFarma β Digital Assistant for Pharmacists
Rule-based clinical assistant with 150+ symptom patterns and 81.54% internal accuracy.
Tools I actively use in real projects:
- ML & Computer Vision: PyTorch, TensorFlow, scikit-learn, OpenCV
- Data & Pipelines: Pandas, PySpark, PostgreSQL
- Backend: FastAPI, Go Fiber, REST, OpenAPI
- MLOps & Dev: Docker, Git, basic Kubernetes
- Peer-reviewed computer vision journal paper (SINTA 2)
- Presentation at ACCV 2024 Workshop β CV4DC (Hanoi)