Nileksh D.
Full-Stack .NET Developer | AI Powered Engineer | Selenium Automation
11+ years building production-grade .NET applications, APIs, and automated data extraction systems. Full-time freelancer since 2014 with 40+ hours/week availability — I turn complex business requirements into scalable, maintainable software using the Microsoft technology stack. ⚙️ Backend & API Development Enterprise web applications with ASP.NET Core MVC, Web API, and C# RESTful API design with Swagger/OpenAPI documentation Microservices architecture and clean code patterns Real-time features using SignalR and GraphQL Database design and optimization with SQL Server, Entity Framework, and Dapper ORM Azure cloud deployment and CI/CD pipeline setup 🕸️ Web Scraping & Data Automation Custom C# scrapers using Selenium WebDriver — handles JavaScript-heavy sites, AJAX pagination, login-protected pages, and infinite scroll Scheduled automation bots for recurring data collection E-commerce product data, business leads, competitor monitoring, real estate listings Clean data delivery in Excel, CSV, JSON, or SQL Server Data cleaning, validation, and report generation 🤖 AI Integration & Workflow Automation AI-powered features integration into .NET applications (OpenAI API, LLMs) Workflow automation with Pabbly Connect, Zapier, and ZeroWork Custom bot development for repetitive business processes 🔧 Frontend Support Responsive UI with JavaScript, TypeScript, jQuery, Bootstrap, HTML5, and CSS3 Why Clients Work With Me Repeatedly: → Fast response: replies within 1-2 hours during business hours → Clear communication: regular progress updates and documentation → Flexible with time zones for international teams → I recommend the optimal tech stack before writing a single line of code Ready to discuss your project? Send me a message with your requirements — I'll respond with a detailed plan, timeline, and cost estimate.
Earnings and projects
An estimate from an earlier read
Billed in all: $10,296$10k
Across 49 contracts
Earnings, last 30 days
Dotted: longer than usual between two readings.