You will get an AI-Agent team which is tailored for your needs!


Project details
You will get an AI-Agent/Team deployed on AWS specialized in doing the task given by you in the requirement, which can be interacted via FastAPI endpoints on the url or can be accessed directly from the code using api call.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI-Generated Art, AI-Generated Music, Conversational AI, Image Analysis, Image Recognition, Natural Language Generation, Synthetic Data GenerationAI Development Language
PythonAI Tools
Adobe Firefly, Bing AI, Hugging Face, PyTorchAI Models
ChatGPT, GPT-4, Stable DiffusionWhat's included
| Service Tiers |
Starter
$350
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 28 days |
Number of Revisions | 1 | 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 Enes
AI Engineer | LLM Applications | AI Agents | FastAPI | LangChain | AWS
Istanbul, Turkey - 7:44 pm local time
What I Offer:
✅ AI Agents & LLM Applications – I design and implement AI agents using custom-developed tools that interact with external services, databases, and APIs.
✅ Backend Development & APIs – I develop FastAPI-based endpoints, integrating AI models with structured and vector-based databases like MongoDB and Pinecone.
✅ Cloud Deployment & Optimization – I deploy AI solutions on AWS, ensuring optimal performance, reliability, and scalability.
✅ Automation & DevOps – Experienced in CI/CD pipelines, Docker, Kubernetes, Terraform, and Ansible for seamless deployment.
Work Experience:
🚀 AI Engineer @ Entrapeer – Leading AI development efforts, from coding and testing to deployment on AWS. Worked closely with product teams to integrate AI-driven solutions into real-world applications.
Key Skills:
🔹 Programming: Python, Java, C#
🔹 AI & LLMs: LangChain, LangGraph, Pinecone
🔹 Backend & Databases: FastAPI, MongoDB, Redis, Celery
🔹 Cloud & DevOps: AWS (EC2, Lambda, SQS, VPC), Docker, Kubernetes, Terraform, Ansible, Jenkins
I am passionate about AI-driven automation and scalable software architecture. If you're looking for an AI Engineer to build smart applications, integrate AI models into production, or optimize your backend infrastructure, let’s connect! 🚀
Let’s build the future of AI together!
Steps for completing your project
After purchasing the project, send requirements so Enes can start the project.
Delivery time starts when Enes receives requirements from you.
Enes works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement specification
I shake hand with the customer about the requirements
Agent Development
Development of the agents and the workflow