Open to opportunities

azka User

@mohammadazka

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I build AI and backend systems for real-time data, visualization, and edge computer vision.

Indonesia

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What I'm looking for

I'm looking to build production-ready AI, backend, and data systems, with opportunities to work on scalable architectures, machine learning integration, and real-world computer vision applications.

I'm building VisionGuard, a lightweight edge-optimized computer vision pipeline for real-time environmental hazard detection, targeting 94.5%+ mAP across 15 object classes and sub-22ms inference latency.

At Medco E&P Indonesia, I engineered a Python/Plotly Dash application that visualized 10,000+ spatial network nodes in real time. I automated raw-data parsing to cut processing time by 85%, optimized SQL CRUD operations to reduce database latency by 40%, and added real-time spatial-data editing tools that improved workflow efficiency by 50%.

Previously at OPECS LTD, I built a PyQt5/Matplotlib visualization tool, automated preprocessing across 270+ raw data files, and developed a machine-learning pipeline that predicted material viscosity with 92% accuracy. I'm currently pursuing a Computer Science degree at Universitas Gadjah Mada.

Experience

Work history, roles, and key accomplishments

Software Engineer

Medco E&P Indonesia

Mar 2026 - Jun 2026 (3 months)

• Engineered a Python/Plotly Dash app visualizing 10,000+ spatial network nodes in real-time.
• Automated raw data parsing workflows into structured networks, reducing processing time by 85%.
• Optimized SQL CRUD operations, slashing backend database latency by 40% for sub-second updates.
• Integrated real-time UI editing tools for spatial data, boosting workflow efficiency by 50%.

Python Dash SQL JSON Debugging

IT Specialist

OmahTI UGM (Organisasi Mahasiswa Ahli Teknologi Informasi)

Jan 2025 - Dec 2025 (11 months)

Worked as IT Specialist at OmahTI UGM (Organisasi Mahasiswa Ahli Teknologi Informasi).

AI Engineer

Oilfield Production Enhancement Consulting Services (OPECS) LTD

Apr 2025 - Aug 2025 (4 months)

• Developed an interactive PyQt5/Matplotlib visualization tool, boosting dynamic CSV analysis efficiency by 60%.
• Automated the ingestion, cleaning, and feature engineering of 270+ raw data files, reducing manual preprocessing time by 75%.
• Engineered an end-to-end machine learning pipeline to predict material viscosity, achieving a 92% model accuracy rate.