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USD
I will develop edge ai solutions for object detection and tracking
Dmytro Butyrin
About this gig
Struggling with delayed detection, unstable results, or heavy cloud costs?
Real-time decisions fail when latency, bandwidth, or unreliable pipelines get in the way.
I build Edge AI systems that detect objects and actions instantly, directly on your device.
No lag. No cloud dependencies. Just fast, reliable inference where it matters.
What's included:
- Real-time object/action detection pipeline
- Optimization for edge devices (Jetson, embedded systems)
- Stable inference under real-world conditions
- Integration with cameras, sensors, or triggers
- Lightweight dashboard for monitoring & logs
I focus on ROI, not experiments. Most failures come from pipeline design, not the model. I architect systems that actually work in production with predictable latency and stable outputs.
Let's align on your use case before you commit!
Message me to discuss your setup, constraints, and expected outcomes.
Get to know Dmytro Butyrin
Dmytro Butyrin
AI Lead Creating LLM, RAG and Edge AI Impact
- FromUkraine
- Member sinceMar 2026
Languages
Ukrainian, English
Hi! I’m an AI Team Leader dedicated to turning complex tech into scalable business assets.
I bridge the gap between "cool tech" and real ROI. I build high-performance systems that are fast, private, and cost-effective, ensuring your AI works for your specific business needs.
Where I Drive Impact:
- RAG Systems turn scattered data into decision-ready assistants for search, support, and workflows.
- LLM Solutions automate docs, lead qualification, content.
- Edge AI enables real-time ops and analytics without cloud latency.
Ready to scale your intelligence? Message me now and let’s build!
My Portfolio
Other AI Development Services I Offer
FAQ
Why should you choose me?
Most failures in the AI space come from system design, not models. I focus on building stable, production-ready pipelines that perform under real-world constraints.
What’s included?
You will receive a working real-time detection pipeline, edge optimization, integration with your input source (camera/sensor), and guidance for deployment and testing.
What’s not included?
Hardware procurement, large-scale data labeling, and long-term maintenance are not included unless discussed separately.
How do I know if Edge AI is the right approach for my use case?
If your system depends on real-time decisions, low latency, or limited connectivity, edge deployment is usually more reliable than cloud-based pipelines.
Can you work with my existing hardware setup?
Yes, as long as specifications are provided. I typically adapt the solution to your current devices to avoid unnecessary costs.
What kind of accuracy can I expect?
Accuracy depends on data quality and environment. I aim for stable, predictable performance rather than theoretical benchmarks.
Do you support multi-camera or sensor-based systems?
Yes, multi-stream setups and sensor-triggered workflows can be implemented in advanced packages.
What happens if lighting or conditions change?
The system is designed to handle real-world variability, but additional tuning may be required depending on your environment.
Can this trigger real-world actions (alerts, gates, automation)?
Yes, detection outputs can be connected to external systems, APIs, or hardware triggers.
What do you need from me to get started?
Clear use case, sample data if available, hardware details, and expected latency or performance requirements.
