Lead Python Developer | Configuration Team at Turbolab Technologies (ScrapeHero)

Led a 9-person engineering squad focused on anti-bot R&D, securing pipelines for 4 major products and handling 4.2M daily requests across 1,090 domains and 4,500 page types. Reverse-engineered client-side fingerprinting to build a resilient, automated payload generator achieving a 99.7% bypass success rate. Reduced obfuscated WebAssembly challenge resolution time by 80% through advanced browser emulation and Bézier-curve interaction and navigator patching. Defeated enterprise-grade Imperva and Cloudflare WAFs by architecting a centralized token API using browser automation with Xvfb and sticky proxies to service 14K daily client requests across 10 instances. Restored data-pipeline stability to 100% uptime within 2 hours by bypassing fingerprinting via URL parameter manipulation and targeted inter-request latency. Engineered a request-based PerimeterX bypass by reverse-engineering mobile APIs; used Frida for SSL unpinning and HTTP Toolkit for MITM interception to decrypt cryptographic

Associate Python Developer | R&D Team at Turbolab Technologies (ScrapeHero)

Engineered a resilient, low-latency extraction technique for protobuf-encoded Google URLs. Architected a lightweight Firefox-based TLS workaround around request interception to process ~54K daily requests, slashing runtime by 80%, data usage by 90%, and server costs by 75%. Optimized a high-volume data pipeline (100K daily inputs) by bypassing Data Dome using locale impersonation via Accept-Language; transitioned from browser-based to request-based architecture, cutting proxy consumption by 75%. Reproduced dynamic Item ID generation by reverse-engineering proprietary client-side JavaScript. Built a mobile User-Agent rotation solution that reduced memory overhead by 85% and increased throughput by 60x while preserving 100% data accuracy. Restored access to heavily protected ISP pricing data by reversing obfuscated JavaScript and identifying an HMAC-SHA256 signing scheme, migrating data collection from legacy scraper to ultra-efficient, request-driven architecture. Diagnosed production T

Junior Python Developer | Data Team at Turbolab Technologies

Engineered a custom reCAPTCHA bypass solution, reducing spider runtimes from 48 hours to 5 hours per run and cutting proxy costs by 75%, earning a formal client commendation. Developed 100+ Scrapy-based spiders leveraging a Scrapy framework with advanced XPath and Regex to handle high-volume extractions, including a 200GB full-site data extraction. Deployed 50+ Dockerized asynchronous APIs using aiohttp to support real-time scraping, stress-tested for 100+ concurrency, and implemented automated health checks. Designed modular data parsers, reducing code redundancy and redevelopment effort by 70% and accelerating new spider deployments from 2 days to under 10 hours. Automated blocked URL retries, eliminating 100% of manual developer intervention for failed requests. Pre-processed and validated data using Pandas to ensure 99.9% data accuracy; delivered structured data via S3, Redis, Gmail, and OwnCloud in CSV, JSON, PDF, and XLSX.