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Mohamed Hany

@mohamedhany2

Python Developer building web scraping and AI automation systems, including Zillow tools extracting data from 10k+ daily listings.

Egypt

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At Camping World, I automated daily competitor RV data acquisition with Selenium, processing 5,000+ listings for cloud database updates. I also optimized Pandas data-cleaning pipelines, reducing processing runtime by 40%.

For Zillow Details Scraper & ETL Real Estate, I developed Apify Store tools that bypass anti-bot defenses and extract property trends, agent contacts, and specifications from 10k+ daily listings. I also built a YC Scraper with a 98%+ extraction success rate.

My projects include HomeFinder AI, a conversational tool that turns real estate queries into structured market data, and an n8n workflow using Gemini AI to analyze Instagram competitor engagement. I’ve also built a full-stack platform for G7Global and ValorG7, and designed coding tasks for Habitat Inc.’s RLHF pipelines.

Experience

Work history, roles, and key accomplishments

Full-Stack Developer

G7 Global / ValorG7

Jun 2026 - Jul 2026 (1 month)

Built and hardened the web platform for G7Global and its marketplace arm ValorG7, supporting 10k+ monthly visitors. Owned the stack end-to-end including Django backend, React/Vite/Tailwind frontend, and infrastructure, and led security hardening and database migration.

Django React Vite Tailwind PostgreSQL NEON Render Vercel Security Hardening Content Security Policy (CSP)Rate limiting XSS CI CD

Data Analyst

Self-employed

May 2026 - May 2026 (0 months)

Built an interactive financial analytics dashboard to explore market responses to US–Iran conflict events, processing 80+ normalized stock tickers across 5 conflict phases. Calculated fear index recovery speeds using the VIX index, delivering live-filtered insights with sub-second render times.

Data Analysis Financial Analytics Vix Python Dashboard Development

RLHF Task Engineer

Habitat Inc.

Nov 2025 - May 2026 (6 months)

Designed and curated 50+ complex coding tasks for RLHF pipelines to fine-tune LLM coding models. Converted real-world GitHub PRs into behavioral specs and test suites, shaping task difficulty to evaluate model failures and improve solve rates by 25%.

RLHF LLM Python GitHub Test Suites Behavioral Specifications

Python Developer

Camping World

Mar 2025 - Apr 2025 (1 month)

Automated daily acquisition of competitor RV retail data using Selenium, processing 5,000+ listings daily for direct cloud database updates. Optimized data cleaning pipelines with Pandas, reducing processing runtime by 40%.

Python Selenium Pandas Web Scraping Data Cleaning Cloud Database