You will get a production-ready computer vision system
Project details
I build production-ready computer vision systems designed for real-world performance — not just research prototypes.
With strong experience in deep learning and model optimization, I develop solutions for detection, tracking, segmentation, and visual inspection tailored to your specific business goals. My approach focuses on robustness, scalability, and deployment efficiency, ensuring the model performs reliably outside the lab.
Whether you need a fast MVP or a fully integrated end-to-end system, I deliver clean, optimized, and well-structured solutions ready for production use.
With strong experience in deep learning and model optimization, I develop solutions for detection, tracking, segmentation, and visual inspection tailored to your specific business goals. My approach focuses on robustness, scalability, and deployment efficiency, ensuring the model performs reliably outside the lab.
Whether you need a fast MVP or a fully integrated end-to-end system, I deliver clean, optimized, and well-structured solutions ready for production use.
Machine Learning Tools
Keras, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$260
|
Standard
$800
|
Advanced
$3,600
|
|---|---|---|---|
| Delivery Time | 5 days | 15 days | 30 days |
Number of Revisions | 1 | 2 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$80 - $800
Additional Model Variation
(+ 2 Days)
+$240
Deploy on AWS/GCP
(+ 1 Day)
+$500
Real-time optimization
(+ 3 Days)
+$1,300Frequently asked questions
About Gustavo
Real-Time Edge AI & Inference Optimization
Curitiba, Brazil - 10:50 am local time
My focus is sustained performance in production — not just model training.
Specialized in:
ONNX Runtime (CPU/GPU)
TensorRT acceleration
FP16 / INT8 quantization
Jetson (Nano, Xavier, Orin)
ARM-based deployment
End-to-end pipeline optimization
I optimize the full inference pipeline:
Capture → Preprocess → Inference → Postprocess → Tracking
Typical work includes:
Reducing end-to-end latency
Eliminating CPU-GPU bottlenecks
Improving sustained FPS under thermal limits
Maintaining accuracy after quantization
Diagnosing performance degradation in production
If your model runs in the lab but struggles on real hardware, I can fix that.
Steps for completing your project
After purchasing the project, send requirements so Gustavo can start the project.
Delivery time starts when Gustavo receives requirements from you.
Gustavo works on your project following the steps below.
Revisions may occur after the delivery date.
Project Understanding & Technical Assessment
I analyze your objectives, data quality, constraints, and deployment environment to define the optimal computer vision approach.
Data Preparation & Preprocessing
I clean, structure, and preprocess the dataset to ensure optimal training performance and robustness.