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I will deploy and optimize your computer vision model for production
Computer Vision, Edge AI Engineer, Jetson, RK3588 Deployment
I make AI models run on real hardware, and I prove it with measurements rather than estimates.
Engineer with an MS in Artificial Intelligence Engineering and active research in efficient vision model...
About this Gig
Your model works in the notebook. Getting it into production is a different problem.
Most computer vision projects don't fail on accuracy. They fail on everything after: the model won't export cleanly, it's slower than expected, preprocessing silently differs between training and deployment, and nobody can say what the system actually does under real conditions.
I take working models to working deployments with measurements to prove it.
WHAT I DO
Export your model correctly and verify it produces identical output
Optimize inference speed, TensorRT, ONNX Runtime, quantization
Find and fix the real bottleneck (usually not the model)
Build the full pipeline: capture, preprocess, infer, postprocess
Measure honestly, worst-case latency, not best-case
COMMON PROBLEMS I FIX
"It's fast in Python but slow in production"
"Accuracy dropped after deployment and we don't know why"
"Export fails or produces wrong results"
"We don't know if our hardware is enough"
HOW I WORK
MS in AI Engineering with efficient deployment research. I use strict measurement protocols: locked clocks, proper warm-up, medians over 100s of runs.
Message me before ordering to confirm fit.
FAQ
My model works fine in Python. Why would I need this?
Because "works" and "ships" are different bars. Models that run comfortably in a notebook routinely miss their latency budget in production, lose accuracy to a preprocessing mismatch, or fail to export cleanly. If you're moving from prototype to product, it's worth knowing which of those you're faci
What do you need from me to start?
Your model (ONNX or PyTorch), the input size, your target hardware, and the latency or frame rate you're aiming for. A few sample images help if accuracy matters. If you're not sure what to send, message me, I'll tell you exactly what I need.
What if my model is confidential?
Understood, and common. I don't share, reuse, or retain client models beyond the work. Happy to sign an NDA before you send anything. If you'd rather not share the model at all, message me, sometimes I can work from a structurally similar public model plus your specs.
How much faster will my model get?
I won't guess, and I'd be careful of anyone who does before seeing your model. Realistic gains vary enormously, some models are already near-optimal, others have several times available. The Diagnose package tells you what's actually on the table before you spend anything on optimization.
What if the answer is "your model can't hit that target"?
Then that's what you'll get, with the measurements showing why and what would need to change, a smaller model, lower resolution, or different hardware. That answer is often worth more than the optimization, because it saves you from committing to something that won't work.
Do you work with YOLO / detection models?
Yes, detection models are the most common thing I work on, along with classification and segmentation. Both CNN and transformer architectures. If you have something unusual, message me first and I'll tell you honestly whether it's a good fit.
I don't know which package I need. Which should I pick?
Start with Diagnose. It tells you what's wrong and what's worth fixing, and the findings determine whether you need the optimization work at all. Many buyers find the diagnosis alone answers their question. If you go on to a larger package, we'll have measurements to work from.
What exactly do I receive?
A written report with real measurements, not estimates, showing latency, where the time goes, and clear recommendations. Standard and Premium also include the optimized model and, for Premium, the full pipeline code and deployment documentation.
Can you deploy on my specific hardware?
I test on NVIDIA Jetson hardware directly. For other targets I can optimize and verify the model, but performance numbers would come from your environment rather than mine, and I'll say clearly which numbers are measured and which aren't. Message me with your target and I'll tell you what I can and
What happens after delivery?
Revisions are included, and I'll answer questions about the work. If something in the report doesn't make sense, ask, the point is that you can act on it. Many buyers come back with the next model, which is the outcome I'm working toward.
