You will get a production-ready AI agent integrated with your database and APIs.
Project details
Streamline Operations with Custom, Code-Driven AI Agents
Stop wasting hours on manual data analysis, email sorting, or repetitive client updates. I build custom, secure, and production-ready AI agents designed to handle specific operational workflows. No rigid, subscription-heavy no-code platforms—just clean, custom code that your business completely owns.
What I Can Build for You:
Structured Data Extraction Agents: Automatically read sales-call transcripts, emails, or PDFs to pull out themes, risks, and sentiment into structured JSON.
RAG & Knowledge Agents: Give an LLM access to your internal documentation, databases, or Google Drive for hyper-accurate, contextual answering.
Database & API Agents: Agents that can read/write data directly to your PostgreSQL, Supabase, CRM, or external tools based on natural language instructions.
The Tech Stack:
Depending on your architecture, I develop native implementations using Python, LangChain, or LlamaIndex, leveraging state-of-the-art LLMs like Gemini 1.5 Pro / Vertex AI, GPT-4o, or Claude 3.5 Sonnet.
Note: Please message me before ordering to discuss your specific tech stack and data privacy requirements.
Stop wasting hours on manual data analysis, email sorting, or repetitive client updates. I build custom, secure, and production-ready AI agents designed to handle specific operational workflows. No rigid, subscription-heavy no-code platforms—just clean, custom code that your business completely owns.
What I Can Build for You:
Structured Data Extraction Agents: Automatically read sales-call transcripts, emails, or PDFs to pull out themes, risks, and sentiment into structured JSON.
RAG & Knowledge Agents: Give an LLM access to your internal documentation, databases, or Google Drive for hyper-accurate, contextual answering.
Database & API Agents: Agents that can read/write data directly to your PostgreSQL, Supabase, CRM, or external tools based on natural language instructions.
The Tech Stack:
Depending on your architecture, I develop native implementations using Python, LangChain, or LlamaIndex, leveraging state-of-the-art LLMs like Gemini 1.5 Pro / Vertex AI, GPT-4o, or Claude 3.5 Sonnet.
Note: Please message me before ordering to discuss your specific tech stack and data privacy requirements.
AI Algorithms
Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Speech, AIOps, Conversational AI, Image Analysis, Natural Language Generation, Natural Language Understanding, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, NVIDIA AI Platform, Replit, Streamlit, Word2vecAI Models
BERT, GPT-4, LaMDA, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$100
|
Standard
$500
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $100Frequently asked questions
About Muhammad Fauzan
Data and AI Engineer
Depok, Indonesia - 2:21 pm local time
Steps for completing your project
After purchasing the project, send requirements so Muhammad Fauzan can start the project.
Delivery time starts when Muhammad Fauzan receives requirements from you.
Muhammad Fauzan works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Planning & Tool Selection
We discuss your workflow, define the agent's goals, select the optimal LLM (e.g., Gemini, GPT-4o, Claude), and map out the required API integrations and data flow.
Knowledge Base & Environment Setup
I set up the development environment, securely connect your data sources (SQL, Supabase, Google Drive, etc.), and configure vector storage if building a RAG-based system.