You will get Build a custom AI Agent with API & Database connection (Ready in 48h)
Project details
Transform your business workflows with custom-built, action-oriented AI Agents. Stop losing time on manual tasks. I develop intelligent AI Agents that don’t just "chat" but actually execute tasks, connect to your databases, and integrate with your favorite APIs.
What This Project Offers:
Rapid Prototyping: Get your first functional AI Agent delivered within 48 hours.
Integration: Full connectivity with SQL/NoSQL databases and external APIs (Slack, Shopify, Google Sheets, etc.).
RAG Implementation: Specialized in Retrieval-Augmented Generation, allowing your agent to "read" and act upon your private documents (PDF, Doc, Web).
Advanced NLP & Tokenization: Optimized architecture to ensure high understanding accuracy while minimizing your API token costs.
Core Tech Stack:
Languages & Frameworks: Python, LangChain, CrewAI.
Models: GPT-4o, Claude 3.5, Llama 3.
Storage: Vector Databases
Service Tiers:
Starter ($100): Single-task Agent with 1 API connection. Perfect for quick automation.
Standard ($350): Integrated Agent with Database (RAG) and up to 2 API connections.
Expert ($500): Multi-agent autonomous system with full database integration and production-ready deployment.
What This Project Offers:
Rapid Prototyping: Get your first functional AI Agent delivered within 48 hours.
Integration: Full connectivity with SQL/NoSQL databases and external APIs (Slack, Shopify, Google Sheets, etc.).
RAG Implementation: Specialized in Retrieval-Augmented Generation, allowing your agent to "read" and act upon your private documents (PDF, Doc, Web).
Advanced NLP & Tokenization: Optimized architecture to ensure high understanding accuracy while minimizing your API token costs.
Core Tech Stack:
Languages & Frameworks: Python, LangChain, CrewAI.
Models: GPT-4o, Claude 3.5, Llama 3.
Storage: Vector Databases
Service Tiers:
Starter ($100): Single-task Agent with 1 API connection. Perfect for quick automation.
Standard ($350): Integrated Agent with Database (RAG) and up to 2 API connections.
Expert ($500): Multi-agent autonomous system with full database integration and production-ready deployment.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, LaMDA, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$100
|
Standard
$350
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 0 | 1 | 2 |
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 Senel Gul
AI Agent & NLP Engineer (Job Matching / Chatbot Systems)
Istanbul, Turkey - 2:17 pm local time
Core Expertise:
Data Orchestration: Managing scalable databases to fuel AI models.
API & Integration: Seamlessly connecting LLMs with external tools via Node.js/Python.
Insight-Driven SEO: Leveraging semantic search and data clustering for measurable organic growth.
From autonomous agents to complex data pipelines, I deliver robust, production-ready solutions. Let's build your data engine.
Step 1: Data Architecture & API Discovery
Description: We'll define the data flow, required API endpoints, and database structure (MongoDB). This ensures the AI system has a solid, scalable foundation from day one.
Step 2: Pricing & Technical Roadmap
Description: I’ll finalize the pricing and split the build into 4 distinct milestones, covering everything from backend setup to agent logic.
Step 3: Integration & System Build
Description: I will build the n8n workflows, integrate APIs, and set up data processing scripts. This stage focuses on making the data "meaningful" for the AI.
Step 4: Testing, Revisions & Handover
Description: We'll perform final stress tests on API calls and data accuracy. This step includes revisions to ensure the system is production-ready.
Steps for completing your project
After purchasing the project, send requirements so Senel Gul can start the project.
Delivery time starts when Senel Gul receives requirements from you.
Senel Gul works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Requirements Analysis & Scope Definition
I will review your business needs, data sources (SQL, PDF, etc.), and required API integrations. We will finalize the "User Stories" to ensure the Agent knows exactly how to behave in different scenarios.
Step 2: Environment Setup & API Configuration
I will set up the development environment using Python and LangChain. This includes securely configuring your API keys (OpenAI, Anthropic, etc.) and establishing connections to your external tools or databases.