I will build custom ai vision models for detection, inspection and tracking
Computer Vision Engineer And AI Full Stack Developer
About this Gig
Need an AI system that detects defects, verifies assemblies, counts objects, or monitors safety compliance? I build production-grade computer vision solutions not just notebook demos.
Unlike most CV freelancers, I come from 13+ years in manufacturing IT, deploying real systems on real production lines in medical device and industrial facilities. NVIDIA Certified.
What I can build for you:
- Object detection & tracking (YOLOv8, custom CNNs)
- Defect detection & visual quality inspection
- Safety compliance monitoring (PPE, gloves, equipment)
- People/vehicle counting & direction tracking
- Label verification & OCR
- Image classification & segmentation
- Edge AI deployment on NVIDIA Jetson (Nano, Orin)
- Full ML apps with frontend, backend & API
Model architectures: YOLO (v5/v8/v11), EfficientDet, custom CNNs, CLIP, TensorRT optimization
Tools: OpenCV, TensorFlow, PyTorch, FastAPI, Next.js, Supabase, DeepSORT, ByteTrack
What I deliver:
- Trained model with inference script
- API endpoint or full-stack app (if needed)
- Documentation & deployment guide
- Post-delivery support
I deploy systems that run in production on edge devices, on servers, or in the cloud. Not just training, but the full pipeline.
Programming language:
Python
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SQL
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Colab
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NoSQL
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
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Excel
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Colab
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PyTorch
Frameworks:
Scikit-learn
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Google ML Kit
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PyTorch
My Portfolio
FAQ
Can you work with my existing dataset?
Yes. I can also help you annotate and prepare your dataset if needed.
Do you deploy on edge devices?
Yes, I have experience deploying on NVIDIA Jetson Nano and Orin for real-time inference.
What accuracy can I expect?
Depends on data quality and quantity, but my production systems typically achieve 95-99%+ accuracy.

