You will get Turn your AI model into a Web API (Flask/FastAPI)
Project details
I design and develop AI-powered applications that integrate machine learning models into user-friendly web platforms. With expertise in GANs, Diffusion, CLIP, Flask, and AWS deployment, I provide end-to-end solutions for AI SaaS, prototypes, and custom automation systems. Clients can expect scalable, well-documented, and production-ready results tailored to their needs.
Machine Learning Tools
MLflow, NumPy, Open Neural Network Exchange, pandas, Python, PyTorch, scikit-learn, SciPy, TensorFlowWhat's included
| Service Tiers |
Starter
$180
|
Standard
$350
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 0 | 0 | 0 |
Number of Scenarios | 0 | 0 | 0 |
Number of Graphs/Charts | 0 | 0 | 0 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $180
Additional Revision
+$30
Extra API endpoint
+$50
EC2 deployment guide (Gunicorn+Nginx)
+$120
Authentication (JWT/API key)
+$60Frequently asked questions
About Muhmmed Mesut
Generative AI Engineer | ComfyUI Workflows, Custom Nodes & Multimodal
Mersin, Turkey - 3:42 am local time
I am a Generative AI Engineer focused on building robust, scalable, and controllable AI pipelines.
My approach combines creative vision with a deep technical understanding of Python and Deep Learning components (GANs, CLIP, VAE, U-Net, Schedulers, Samplers, and LDMs). I don't just connect nodes in ComfyUI; I understand the mathematical logic behind them—allowing me to engineer precise solutions, debug complex errors, and optimize workflows for maximum efficiency.
My Core Services:
Advanced ComfyUI Automation: Building custom .json workflows for consistent character generation (Flux + PuLID), product placement, and video processing.
Custom Node & Python Integration: Developing custom scripts to extend ComfyUI functionalities or integrating workflows into your local/cloud infrastructure (RunPod).
Model Development & R&D: Background in researching and implementing diffusion models (LDM, UNet, Samplers) and fine-tuning LLMs (Mistral 7B).
Workflow Optimization: Troubleshooting technical issues, reducing generation times, and solving VAE/Tensor mismatches.
Technical Stack:
Frameworks: ComfyUI, PyTorch, Python.
Models: Flux.1, SDXL, Stable Diffusion 1.5, Mistral (LLM).
Tools: ControlNet, IP-Adapter, LoRA Training, RunPod/Cloud Deployment.
Whether you need a complex automated pipeline for your agency or a technical fix for your existing workflow, I provide engineering-grade solutions.
Check my portfolio below to see the logic behind the visuals.
Steps for completing your project
After purchasing the project, send requirements so Muhmmed Mesut can start the project.
Delivery time starts when Muhmmed Mesut receives requirements from you.
Muhmmed Mesut works on your project following the steps below.
Revisions may occur after the delivery date.
Project setup & environment configuration
I will set up the project structure and configure the environment.
API integration
I will integrate the selected AI model API with the backend.