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I will develop edge ai and computer vision solutions using raspberry pi and jetson
Full Stack AI and IoT Engineer, Embedded Systems, Edge AI, ESP32
Hi, I'm Daniyal, an Electronics Engineer with 2+ years of experience building production-ready IoT and AI systems. I help startups transform ideas into reality by bridging hardware, cloud, and edge AI...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
Highly Responsive
Known for exceptionally quick replies
About this Gig
Looking to implement machine learning or computer vision in a real-world application?
I deliver complete, production-ready ML and computer vision solutions tailored to business and product requirements.
I help businesses and startups solve problems such as:
- Real-time computer vision with low latency
- Offline AI and privacy-first data processing
- Object, face, and anomaly detection on the edge
- Smart camera and sensor integration
- Industrial vision and intelligent surveillance
What I Can Deliver:
- Custom computer vision pipelines
- Hardware-accelerated AI inference
- Image classification & YOLO object detection
- Edge-to-cloud IoT architectures
- Model conversion and FPS optimization
- Integration with USB/IP cameras
- Deployment-ready inference scripts
How Solutions Are Built:
- Hardware-specific model optimization
- Clean, low-latency C++ and Python architecture
- Robust offline operation capability
- Scalable and deployment-ready design
Tech Stack:
- Hardware: NVIDIA Jetson, Raspberry Pi, ESP32
- Frameworks: TensorFlow Lite, ONNX Runtime, Edge Impulse
- Computer Vision: OpenCV, YOLO networks
- Programming: Python, C++
Please contact me before ordering to discuss your hardware constraints and model requirements.
Programming language:
Python
•
MATLAB
•
SQL
•
MLflow
•
Amazon SageMaker
Frameworks:
Scikit-learn
•
DeepPy
•
Google ML Kit
•
PyTorch
•
Panda

