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Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: Pair Extraordinairex2Achievement: YOLO

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RaphaelFakhri/README.md

Hi, I'm Raphael 👋

Python engineer focused on web scraping, data extraction, and LLM-assisted automation — MSc in Computer Science, AUB.

I care about the unglamorous parts of data work: dynamic / JS-rendered sources, anti-bot handling, validation and cross-source consistency, and pipelines that fail loudly instead of quietly shipping bad data. Recent builds, all live:

  • scrapehub — async scraping framework (BeautifulSoup + Playwright)
  • llm-extract — LLM extraction with a pydantic + cross-source consistency gate
  • apify-aws-actor — self-monitoring Apify actor, AWS-deployable

Previously: contributor to Apache Kafka and the Slimefun Minecraft plugin.

📫 fakhriraphael@gmail.com · Book a call

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  1. apify-aws-actor apify-aws-actor Public

    Production-shaped Apify actor: scrape → bounded-concurrency batching → OpenRouter enrichment → schema-drift monitoring/alerting → AWS Fargate/Lambda deployable. Live demo: https://actor.symbai.dev

    Python

  2. llm-extract llm-extract Public

    LLM-assisted extraction pipeline: messy HTML → OpenRouter → normalize → pydantic v2 validate → cross-source consistency → verification gate. Live demo: https://extract.symbai.dev

    Python

  3. scrapehub scrapehub Public

    Async, headless web-scraping framework for sanctioned sources — BeautifulSoup + Playwright, rotating proxies/UAs, polite rate-limiting, retry/backoff, async batching, pydantic-validated CSV/JSON. L…

    Python