You will get Computer vision performance audit and speed-up with proof


Project details
I focus on proof and practicality: we define success in plain language, measure where you are, and implement fixes that clearly move the needle. You won’t just get code changes, you’ll get a visible before/after on your own samples, simple run instructions, and a short video so your team can repeat the results. The goal is a faster, steadier pipeline that works on your actual hardware and is easy to maintain.
AI Development Type
Deep LearningAI Tools
NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
C++What's included
| Service Tiers |
Starter
$500
|
Standard
$900
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Edge/device setup (Jetson/Windows/Linux
(+ 5 Days)
+$150
Two-week post-launch support
(+ 10 Days)
+$180About Islam
AI Engineer (n8n Automations, Data Eng/Science, CV, NLP/RAG)
Cairo, Egypt - 10:03 pm local time
What I deliver
• n8n automations: multi-app workflows, error-handled, dashboards
• Data Eng/Science: dbt/ETL to warehouse, scheduled reports, KPIs
• End-to-End AI apps: FastAPI/Streamlit, Docker, deploy to VPS/Cloud
• Computer Vision: YOLO/ONNX/TensorRT, real-time or batch, PaddleOCR
• NLP (LLM/RAG): docs Q&A, support chat, vector search, guardrails
Stack: Python, SQL, Docker, OpenCV, ONNX, PaddleOCR, FastAPI, dbt, Mage, n8n
Guarantee: 1-week bug-fix window after delivery
Steps for completing your project
After purchasing the project, send requirements so Islam can start the project.
Delivery time starts when Islam receives requirements from you.
Islam works on your project following the steps below.
Revisions may occur after the delivery date.
Understand what to detect or read
We agree in plain terms on the goal and what a correct result looks like.
Measure today’s speed and accuracy
I run your samples to capture FPS/latency and common mistakes as a baseline.