I will test fix and improve ai evals for llm apps agents and rag systems

M
mercyoduno
M
mercyoduno
Mercy

About this gig

HELLO AMAZING BUYER,


AI applications can look good in testing but fail with real users. If your LLM app, AI agent, chatbot, or RAG system gives inconsistent answers, fails edge cases, uses tools incorrectly, or has no reliable way to measure performance, I can help.


I will set up, test, debug, fix, and improve your AI evaluation workflow. I can work with existing AI applications or evaluation systems to identify failures, create meaningful test cases, improve grading logic, and help you measure results across prompts, models, agents, tools, and RAG pipelines.


Services include AI eval setup, LLM testing, agent evaluation, regression testing, prompt comparison, dataset creation, automated scoring, LLM-as-a-judge workflows, RAG evaluation, debugging failed evals, fixing unreliable evaluation logic, and performance reporting.


I work with Python, TypeScript, Node.js, Next.js, APIs, PostgreSQL/Supabase, Cursor, Claude Code, Replit and modern AI development tools.


Whether you need to fix existing AI evals or improve your AI application's reliability, send me your requirements before ordering and I'll recommend the right solution. CONTACT ME NOW!!!


Get to know Mercy

Mercy

Full Stack Developer AI Apps, Agents, Evals and Integration

  • FromUnited Kingdom
  • Member sinceAug 2026
  • Languages

    English, Spanish, French, German
I’m a Full Stack Developer specializing in building modern web apps, AI powered products, SaaS platforms, automations, and custom business solutions. I work with Next.js, React, Node.js, TypeScript, Supabase, Firebase, PostgreSQL, APIs, Replit, Cursor, Claude Code, Lovable, Bolt, and AI development tools. From idea and MVP to scalable production apps, I build clean, responsive, secure solutions with reliable backend systems and seamless integrations. Let’s turn your idea into a powerful digital product.