You will get AI Proof-of-Concept Build — Validate One Use Case
Project details
Want to prove an AI idea works before committing a big budget? This fixed-scope build delivers a working proof-of-concept for a single use case in 10 days.
Pick one thing — a chatbot, a data-extraction pipeline, a RAG assistant, or a classification model — and you get a working prototype deployed to a staging environment, with basic documentation and a 30-minute handoff walkthrough so your team understands exactly what it does. To keep the timeline and price predictable, the scope is fixed: one use case, one data source, and no ongoing support. Higher tiers take it further — production hardening at Standard, and full deployment to your environment at Advanced, when you're ready to take it live.
A clear, low-risk way to turn "maybe AI could…" into something you can actually see working.
Pick one thing — a chatbot, a data-extraction pipeline, a RAG assistant, or a classification model — and you get a working prototype deployed to a staging environment, with basic documentation and a 30-minute handoff walkthrough so your team understands exactly what it does. To keep the timeline and price predictable, the scope is fixed: one use case, one data source, and no ongoing support. Higher tiers take it further — production hardening at Standard, and full deployment to your environment at Advanced, when you're ready to take it live.
A clear, low-risk way to turn "maybe AI could…" into something you can actually see working.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Classification, AI-Generated Art, AI-Generated Code, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Text Recognition, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-4, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$2,500
|
Standard
$3,200
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 10 days | 14 days | 17 days |
Number of Revisions | 1 | 1 | 1 |
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 |
Optional add-ons
You can add these on the next page.
Additional Use Case
(+ 7 Days)
+$2,000
Additional Data Source
(+ 3 Days)
+$600
Custom Demo UI
(+ 5 Days)
+$800Frequently asked questions
About Carlos
Senior AI Engineer | LLM Apps, RAG, AI Agents, MLOps
Hollywood, United States - 11:28 pm local time
I work with startups, scale-ups, and enterprise teams to turn complex business problems into intelligent, reliable AI systems — whether that's a knowledge assistant, a document intelligence tool, a multi-agent workflow, or a user-facing AI product shipped end-to-end.
What I build:
+ RAG pipelines and semantic search systems over proprietary data
+ AI agents and multi-step automation workflows with tool integrations
+ LLM-powered applications (chatbots, copilots, Q&A, summarization, extraction)
+ FastAPI and Python backend services for AI features
+ Full-stack AI products with React/Next.js frontends
+ AI platform infrastructure, model serving, and cloud deployments
How I work:
I focus on complete, production-ready systems — not just model integrations. That means clean architecture, reliable retrieval, grounded outputs, and AI that actually fits into how your team or users operate. I care about accuracy, maintainability, and measurable impact.
Tech I work with regularly:
Python · FastAPI · LangChain · LangGraph · LlamaIndex · OpenAI API · Anthropic Claude · HuggingFace · PostgreSQL · pgvector · Pinecone · FAISS · Weaviate · React · Next.js · Docker · AWS · CI/CD
If you're building an AI system and need someone who can own it from architecture to delivery — let's connect!
Steps for completing your project
After purchasing the project, send requirements so Carlos can start the project.
Delivery time starts when Carlos receives requirements from you.
Carlos works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & Success Criteria
Review of your single use case, data source, and definition of success to lock the fixed scope.
Prototype Build
Development of the single-use-case prototype against the agreed scope.