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Fawwaz AthaFA
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Fawwaz Atha

@fawwaz

Software Data Engineer with production experience building data pipelines and web scraping infrastructure for financial platforms.

Indonesia
Message

What I'm looking for

I am looking for a fully remote software or data engineering role where the technical work is complex and challenging

I am a Software Data Engineer with hands-on experience building production-grade data engineering and scraping infrastructure. At Supertype AI, I built end-to-end scraping pipelines for Sectors, a financial data platform covering IDX and SGX listed companies, ranging from lightweight HTTP pipelines with LLM-based preprocessing to full async browser automation with Playwright against heavily bot-protected web applications.

Experience

Work history, roles, and key accomplishments

SA
Current

Data Scientist

Supertype AI

Jan 2026 - Present (4 months)

Built and maintained end-to-end data scraping pipelines for IDX and SGX, including financial news and filings, using checkpoint-resume patterns and scheduled GitHub Actions jobs. Implemented an LLM-based news preprocessing pipeline and improved sectors API v2 efficiency by 10%, while developing WhatsApp workflow automation and Playwright scraping with human-behavior simulation.

Education

Degrees, certifications, and relevant coursework

Universitas Dian Nuswantoro logoUN

Universitas Dian Nuswantoro

Bachelor of Computer Science, Information Systems

2021 - 2025

Grade: 3.84/4.0

Activities and societies: Relevant coursework: Data Science, Data Analytics, Machine Learning, Deep Learning. Finalist (Top 10): FindIT UGM 2024 Finalist (Top 10): Isfest UMN 2024 Finalist (Top 10): MCF ITB 2024. FindIT UGM 2025 (Top 7 Kaggle leaderboard) Global AI Hackathon '25 (Elucidata, Top 26 Kaggle leaderboard).

3.84/4.0.

Bangkit Academy logoBA

Bangkit Academy

Machine Learning Cohort Study, Machine Learning

2024 - 2024

Grade: Top 10% distinction

Activities and societies: Bangkit Tribe member

Machine Learning cohort study via Bangkit Academy, graduating with a top 10% distinction and completing 12 courses covering data analytics, machine learning, and deep learning.

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