Mayank P.

I design and build reliable backend systems where correctness, structure, and long-term maintainability matter — especially when AI / LLMs are part of the solution. Most of my recent work focuses on C#/.NET systems integrated with AI / LLMs, where natural-language input must be translated into structured, validated, and deterministic outputs (JSON, objects, schemas) that plug directly into real applications — not chatbots or prompt-only demos. What I help clients with AI / LLM integrations that produce predictable, schema-driven outputs C# / .NET backend architecture and service design Turning vague or messy requirements into clean technical models Separating AI reasoning from core business logic for reliability Designing systems that are easy to test, debug, and extend How I approach AI work AI is treated as a controlled component, not a black box Outputs are validated before entering the system Fallbacks and error paths are designed upfront Clean interfaces and strong typing on the .NET side This keeps systems stable even as models or prompts evolve. Background & credibility 20+ years building and delivering business-critical software systems Top Rated on Upwork with 100% Job Success Long-term client relationships built on trust and consistency Strong foundation in .NET, backend architecture, and cloud systems (Azure & AWS) Hands-on experience with AI / LLM-based solutions beyond simple prompts Working together For long-term engagements, I offer a 2-week free trial, so you can evaluate how I work before fully committing. I’m also happy to share demos or walk through relevant examples on a short call. If you’re looking for someone who prioritizes clarity, correctness, and reliability over hype, I’d be glad to connect.