You will get AI/LLM features built into your existing app, site, or API
Project details
I add AI/LLM features to apps and APIs that already exist — cleanly, in your stack, without the hype.
What I can build:
• Summarize, classify, extract or generate — wired into your product
• An in-app AI assistant or chat
• Function calling and structured, validated JSON output
• Streaming responses, with retries, rate-limit handling and cost controls
I work with OpenAI and Anthropic by default, and can use local/open-source models when privacy or cost requires. As an AI/LLM developer who has trained models from scratch, I understand what happens under the hood — so the integration is reliable, cost-efficient and maintainable, not a fragile prompt hack.
Tell me your app, the feature you want, and an example input/output — I'll recommend the cleanest approach.
What I can build:
• Summarize, classify, extract or generate — wired into your product
• An in-app AI assistant or chat
• Function calling and structured, validated JSON output
• Streaming responses, with retries, rate-limit handling and cost controls
I work with OpenAI and Anthropic by default, and can use local/open-source models when privacy or cost requires. As an AI/LLM developer who has trained models from scratch, I understand what happens under the hood — so the integration is reliable, cost-efficient and maintainable, not a fragile prompt hack.
Tell me your app, the feature you want, and an example input/output — I'll recommend the cleanest approach.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated CodeAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$850
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
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 | - | - | - |
About Samuel
Senior AI/LLM Developer | Chatbots, RAG & Full-Stack Engineer
Alvorada, Brazil - 10:59 pm local time
What sets me apart: I don't just call an API. I've trained language models from scratch and work with fine-tuning (LoRA), quantization, and local/on-device LLM inference — so I understand AI from the inside and build solutions that are reliable, cost-efficient, and private when needed.
Core stack:
• AI/LLM: OpenAI & Anthropic APIs, RAG, embeddings/vector DB (pgvector), fine-tuning, local models
• Backend: Go, Node.js/TypeScript, Python, advanced PostgreSQL
• Frontend: React, when the project needs an interface
I also build multi-tenant SaaS end-to-end (architecture to deploy). I value clear communication, reliable delivery, and clean, maintainable work.
Let's talk about how AI can solve a real problem in your business.
Steps for completing your project
After purchasing the project, send requirements so Samuel can start the project.
Delivery time starts when Samuel receives requirements from you.
Samuel works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & approach
I review your app, the feature you want, and example inputs/outputs, then recommend the cleanest integration and the right model.
Build, test & deliver
I build the integration in your stack (prompts, streaming, structured output, error handling), you test, I refine within the included revisions, then deploy or hand off.