Shaykh Farhan | I build systems that
collect, automate
and scale.
I turn repetitive workflows and fragmented data into reliable scraping pipelines, APIs, dashboards, mobile applications, and custom business software.
Work experience
Software Developer
DataAutomatorsBuilt and maintained full-stack applications, web scraping systems, browser automation tools, and data-driven business workflows.
- Developed full-stack business applications
- Researched browser automation and anti-bot challenges
- Improved scraper performance and reliability
- Worked with dynamic websites, proxies, APIs and databases
Freelance Full-Stack Developer
Independent ProjectsBuilding custom scraping systems, internal tools, mobile applications, APIs, dashboards, and workflow automations for international clients.
Systems built around real workflows
A local-first automation system that converts saved LinkedIn jobs into tailored DOCX resumes using a custom browser extension, a persistent SQLite queue, and OpenAI.
A production-ready web scraping and browser automation API with a credit-based dashboard, saved workflows, and proxy-aware execution.
Grassroots to Glory is a mobile-first football scouting and development platform for the grassroots game, helping players build visibility, parents support young athletes safely, and scouts discover talent.
A full-stack property data extraction platform that converts Zillow search results into structured, exportable datasets with queue-based processing and CAPTCHA protection.
What I build
Web Scraping & Data Collection
Custom scrapers, scheduled collectors, proxy integration, data cleaning, multi-source pipelines and structured exports.
Browser & Workflow Automation
Authenticated workflows, browser interaction, form automation, file processing and repetitive back-office operations.
Full-Stack Applications
Dashboards, internal tools, customer portals, search platforms, APIs and SaaS MVPs.
More than a script
Reliable automation must remain usable when traffic increases, data sources change or external providers fail.
- · Cache repeated work
- · Design explicit failure paths
- · Use browser automation only when needed
- · Validate and normalize collected data
- · Keep systems observable
- · Build interfaces that non-technical users can operate