ISRAEL TIMI
Python Developer | Automation & Backend Systems
GitHub | LinkedIn | Portfolio
ABOUT ME
Python developer focused on building complete, production-ready systems that automate workflows, process
data, and deliver real-time insights. I develop responsive web applications, design reliable APIs, and structure
databases that handle data efficiently. My projects include systems that monitor live changes across platforms,
manage data pipelines, and provide user-friendly interfaces for interacting with complex processes. I work
across both the application logic and user experience to ensure everything runs smoothly, scales properly, and
solves real problems without unnecessary complexity.
TECHNICAL SKILLS
Languages:
Python
Backend & APIs:
FastAPI, Flask, REST APIs
Automation &
Scraping:
Playwright, BeautifulSoup, CloudScraper, asyncio
Data Processing:
Pandas, regex, JSON parsing, structured data extraction
Databases:
PostgreSQL, Redis, SQLite
Tools & Platforms:
Git, Docker, Telegram Bot API, cloud deployment (Render)
Anti-Detection:
User agent rotation, Cloudflare bypass, session management, headless
browser automation
PROJECTS
Real-Time Alerts: Cost Intelligence & News Aggregator Bot
GitHub | 634 commits
Built an intelligent automation system that tracks product prices, fuel costs, and education news for Nigerian
consumers, delivering real-time alerts via Telegram.
• E-Commerce Price Tracking: Scraped multiple platforms (Konga, Jumia, Binance) to detect price drops
and identify best deals across sources
• Energy Cost Monitoring: Tracked live fuel and LPG prices, alerting users only when meaningful market
movements occurred
• News Aggregation: Aggregated education news from 3 authoritative sources (NUC, Punch Newspaper,
MySchool) with intelligent deduplication and source attribution
• Smart Alert Engine: Implemented duplicate prevention using Redis, threshold-based notifications, and
cool-down periods to prevent spam
• Technologies: Python, Playwright, BeautifulSoup, PostgreSQL, Redis, Telegram Bot API, asyncio
• Key Features: Parallel scraping across multiple sources, graceful error handling with exponential backoff,
transaction-based data integrity, sub-second feed updates
Moorelink-Socials: High-Precision Social Media Scraper
GitHub | 485 commits | Demo
Designed a social media intelligence tool that extracts structured data from X (Twitter), Instagram, and
Facebook, delivering it to users via Telegram without the noise of traditional feeds.
• State-Aware Architecture: Implemented database-backed verification to avoid redundant API calls by
tracking "last-seen" states
• Structured Data Extraction: Parsed raw HTML/JavaScript into clean JSON schemas for consistent
delivery format
• Asynchronous Scraping: Used Python's asyncio to handle multiple platform requests without blocking
user interactions
• Anti-Bot Measures: Implemented proxy rotation and header spoofing to mimic organic traffic patterns
• Technologies: Python, asyncio, PostgreSQL, Telegram Bot API, web scraping with anti-detection
• Key Achievement: Delivered intentional, noise-free social media consumption by bypassing algorithmic
feeds entirely
WHAT I BUILD
I focus on building practical systems that solve real-world problems through automation and data:
• Web applications that provide clean, usable interfaces for interacting with complex systems
• Automation tools that reduce repetitive tasks and streamline workflows
• Data-driven systems that collect, process, and transform information into useful outputs
• Monitoring solutions that track changes (prices, fuel, or other data) and trigger real-time alerts
• Backend services and APIs that handle requests, manage data reliably, and scale with usage
• Integrations and bots that deliver structured insights directly to users across platforms
APPROACH
I ask questions early to understand the real problem, not just what's being asked for. I write clean, documented
code so changes don't become nightmares months later. I build for reliability—systems that run 24/7 without
constant babysitting.
