You will get build AI agents and LLM evaluation workflows
Project details
You will get a practical AI agent or LLM evaluation workflow that helps your team automate tasks, improve AI output quality, and measure performance more consistently.
This project is best for teams that want to build an AI assistant, workflow agent, chatbot helper, research agent, document review agent, prompt-testing workflow, model comparison process, or QA system for generated outputs. Depending on the tier, I can help define the agent workflow, design the prompts and tool flow, build a working prototype, create evaluation rubrics, develop test cases, score outputs, and document how the system should be used or improved.
What sets this project apart is that I combine product thinking, AI workflow design, software implementation, and LLM evaluation. I do not just create prompts. I help clarify the business problem, design the agent behavior, build a useful first version, and create evaluation criteria so you can tell whether the agent is actually working.
This project is best for teams that want to build an AI assistant, workflow agent, chatbot helper, research agent, document review agent, prompt-testing workflow, model comparison process, or QA system for generated outputs. Depending on the tier, I can help define the agent workflow, design the prompts and tool flow, build a working prototype, create evaluation rubrics, develop test cases, score outputs, and document how the system should be used or improved.
What sets this project apart is that I combine product thinking, AI workflow design, software implementation, and LLM evaluation. I do not just create prompts. I help clarify the business problem, design the agent behavior, build a useful first version, and create evaluation criteria so you can tell whether the agent is actually working.
AI Algorithms
Convolutional Neural Network, Feedforward Neural Network, Gated Recurrent Unit, Large Language Model, Linear Discriminant Analysis, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Radial Basis Function Network, Recurrent Neural NetworkAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Code, Conversational AI, Image Recognition, Image-to-Image Translation, Machine TranslationAI Development Language
PythonAI Tools
Adobe Firefly, Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft 365 Copilot, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
ChatGPT, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,750
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 3 days | 8 days | 14 days |
Number of Revisions | 5000 | 5000 | 5000 |
AI Model Integration | |||
Batch Normalization | |||
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | |||
MLOps | |||
Model Deployment | |||
Model Documentation | |||
Model Monitoring | |||
Model Testing & Optimization | |||
Model Tuning | |||
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | |||
Prompt Engineering | |||
Setup File | |||
Source Code |
Frequently asked questions
About Ryan
AI Automation & Internal Tools | Python, LLMs, Dashboards, Product Ops
El Segundo, United States - 7:01 pm local time
My strongest work is at the intersection of product management, software implementation, AI/LLMs, data workflows, and business operations. I can help you go from “we have a painful manual process” to a working tool, dashboard, prototype, or automation that your team can actually use.
I can help with:
• AI workflow automation using LLMs, APIs, Python, and lightweight apps
• Internal tools and dashboards using Streamlit, FastAPI, React, Python, SQL, and spreadsheets
• LLM evaluation workflows, QA rubrics, scoring pipelines, and test datasets
• Data cleanup, reporting automation, API integrations, and operational analytics
• Product requirements, technical specs, acceptance criteria, and implementation plans
• ML model workflows, feature pipelines, experiment tracking, and model evaluation
I have experience across healthcare, digital product management, machine learning, AI systems, financial modeling, and software delivery. My background includes leading product and workflow initiatives in large healthcare organizations, working with engineering teams, building ML and automation pipelines, and translating ambiguous business needs into clear technical requirements.
Typical projects I am a strong fit for:
• “We need to automate this manual spreadsheet workflow.”
• “We need an AI assistant or internal tool for our team.”
• “We need a working prototype from a product idea.”
• “We need someone to clean up our Python/data/API workflow.”
• “We need LLM evals, prompt testing, or QA workflows.”
• “We need technical requirements that engineers can build from.”
My approach is practical: clarify the workflow, define success criteria, build the simplest useful version, test it against real examples, and leave you with clean documentation so the system can be maintained or extended.
I am especially useful when you need someone who can think like a product manager but still get hands-on with implementation.
Steps for completing your project
After purchasing the project, send requirements so Ryan can start the project.
Delivery time starts when Ryan receives requirements from you.
Ryan works on your project following the steps below.
Revisions may occur after the delivery date.
Review use case
I will review your AI agent goal, target workflow, users, inputs, outputs, and success criteria.
Design agent flow
I will define the agent steps, prompt logic, tools, handoffs, edge cases, and evaluation approach.