You will get Advanced Computer Vision Model for Object Tracking & Detection
Top Rated

Project details
I build private computer vision systems for real-time object tracking. These high-precision tools are tuned for your unique objects and edge AI hardware. By using on-premise vision pipelines, I ensure sovereign AI data security and eliminate the latency of public APIs.
Using Python and OpenCV, I handle vision model training and TensorRT optimization for NVIDIA Jetson, AWS, or GCP. You receive a production-ready tracking pipeline for low-latency video analysis, including the validated model and source code. This setup provides autonomous visual monitoring that operates strictly within your network.
Using Python and OpenCV, I handle vision model training and TensorRT optimization for NVIDIA Jetson, AWS, or GCP. You receive a production-ready tracking pipeline for low-latency video analysis, including the validated model and source code. This setup provides autonomous visual monitoring that operates strictly within your network.
AI Development Type
Deep Learning, Model Tuning, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, Google AutoML, Keras, MLflow, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$3,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 10 days | 14 days | 20 days |
Number of Revisions | 1 | 2 | 1 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
68 reviews
(67)
(1)
(0)
(0)
(0)
This project doesn't have any reviews.
NM
Nijat M.
Apr 23, 2026
30 minute consultation
Very helpful, productive and friendly ! Thanks Eugene
CI
Chitsanzo I.
Apr 6, 2026
React Lovable Document Scanner (jscanify or WASM)
Eugene was a pleasure to work with. I will certainly be back for our future needs!
SA
Salman A.
Mar 25, 2026
30 minute consultation
DN
David N.
Mar 9, 2026
30 minute consultation
CI
Chitsanzo I.
Jan 26, 2026
30 minute consultation
Eugene is great! He’s very professional and a clear communicator. He did a fantastic job helping me find a solution to my problem and I highly recommend him. I’d work with him again for sure!
Thanks Eugene!
Thanks Eugene!
About Eugene
AI Architect for MVPs & Agentic Systems | From Idea to Working Product
96%
Job Success
Belgrade, Serbia - 8:12 am local time
Instead of spending months experimenting with LLMs, tools, and architectures, I design and build MVPs that actually work in real business conditions.
Typical results:
– Working AI MVP in 2–4 weeks
– Clear, scalable architecture (not a demo that breaks later)
– Reduced risk before investing into full development
💡 What I do best
– Turn raw AI ideas into working MVPs
– Design production-ready AI architectures
– Build agentic AI systems (multi-agent workflows, automation)
– Develop RAG systems & knowledge-based AI
– Integrate LLMs into existing products and workflows
I focus on execution and outcomes — not just code.
🧠 Who I work with
– Startups validating AI ideas
– Founders building MVPs for investors or internal use
– Teams внедряющие AI в существующие продукты
– Businesses looking to automate workflows with AI
💬 Not sure where to start?
I offer short consultation calls where we:
– break down your idea
– define architecture
– identify fastest path to MVP
Most of my projects start this way.
⚙️ Typical engagement
– AI MVP / Proof of Concept: $1,500 – $5,000+
– Architecture & planning: via consultation
– Ongoing development: after MVP validation
Most of my work is fixed-scope (MVPs, PoCs).
If you need someone who can not only build, but also think through your AI product — let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Eugene can start the project.
Delivery time starts when Eugene receives requirements from you.
Eugene works on your project following the steps below.
Revisions may occur after the delivery date.
Reviewing your samples and technical requirements to choose the right model
Training and tuning the computer vision model for your specific use case.
