Newsquawk

• Built and deployed a production-grade tweet scraping system using Tweepy and Twitter (X) API, with the backend served via FastAPI. Designed for near real-time alerts while managing API rate limits.
• Developed news article scraping systems across three verticals (Crypto, Finance, Energy), integrating 50+ sources with background jobs and RESTful APIs.
• Created an MVP RAG-based chatbot using OpenAI API to answer stock/news queries using company datasets.
• Built custom LinkedIn automation tools, including profile scrapers, invite senders, and bulk connection managers.
• Delivered clean, efficient, and reusable code while working independently with minimal supervision in a fast-paced, data-driven environment.

Web Scraping Solutions Architect

xloop Digital Services (Pvt) Ltd

• Completed a 4-month intensive data engineering bootcamp, graduating top of cohort.
• Led a 5-member team during the capstone project, building a near real-time data pipeline to serve ML model predictions (room occupancy based on sensor data).
• Gained hands-on experience with ETL workflows, data ingestion, transformation, and cloud-native services.
• Earned two Microsoft Azure certifications: DP-900 (Data Fundamentals) and AZ-900 (Azure Fundamentals).
• Integrated Twilio SMS notifications and developed an email alert system for an existing Django-based application. Leveraged Google Cloud Functions to handle email delivery asynchronously, ensuring non-blocking behavior and smooth application performance during user-triggered events (e.g., proposal received, bid updated).

Software Engineer

Upwork

- Engineered and deployed 30+ custom web scraping and data automation solutions, empowering clients across 10+ industries to extract mission-critical insights from dynamic and protected websites.
- Architected scalable scrapers using Python (BeautifulSoup, Requests, Selenium, Playwright) to capture and process over 10 million structured data points from AJAX-loaded, JavaScript-intensive pages.
- Automated complex workflows using FastAPI, Docker, and cron-based schedulers reducing manual data collection time by up to 90% and enabling real-time pipelines for multiple recurring clients.
- Scraped competitive intelligence and market data (pricing, leads, real estate listings, company metadata) from platforms like Crunchbase and niche B2B directories; directly influencing client growth strategies.
- Defeated sophisticated anti-bot systems using proxy rotation, CAPTCHA-solving APIs, session spoofing, and headless browser automation achieving consistent data extraction without service disruption.
- Maintained a 100% job success rate and perfect 5.0-star feedback across all contracts, delivering high-performance, production-grade Python scripts with zero revisions on most deliveries.

Tech Stack:
Python, Selenium, Playwright, BeautifulSoup, Requests, FastAPI, Docker, Pandas, Git, cron, Postman, JSON, CSV, Excel

Freelance Python Developer (Web Scraping & Automation)

Highly skilled Python Developer with a proven track record as a Web Scraping Expert. I specialize in efficient and scalable data extraction techniques, leveraging Python and various libraries to gather and process information from diverse online sources. My expertise extends to automation of data acquisition workflows, delivering timely and accurate data for analysis and decision-making. Proficient in developing robust web scraping solutions and managing large datasets.

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