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Saith Awab
@saithawab
Level 1
Expert in Computer Vision Image Processing and Edge Hardware
Pakistan
Englisch, Urdu, Hindi
Über mich
⚙️ Expert in Jetson Nano, Raspberry Pi, Computer Vision & Image Processing | OpenCV Certified 🔥 | Luxonis OAK-D Solutions
✅ Certified OpenCV pro and computer vision engineer specializing in Jetson Nano, Raspberry Pi, and real-time visual recognition systems.
✅ Expertise in object tracking, 3D perception with Luxonis OAK-D cameras.
✅ Experience deploying AI solutions with OAK-D, OAK-D Lite, and OAK-D SR.
✅ Skilled in embedded systems, machine learning, and hardware integration (IMU, Arduino).
✅ Expertise in model fine-tuning and model training for tailored AI solutions.
Kompetenzen
Saith Awab
20 $/Stunde
offline •
Durchschnittliche Antwortzeit: 3 Stunden
Meine Dienstleistungen
Computer Vision
I will build, train, and deploy yolo computer vision ai models
KI-Websites & -Software
I will build and deploy custom yolo object detection models
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20 $
/
StundePortfolio
Arbeitserfahrung
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OpenCV Developer
Fiverr
Feb 2021 - Present • 5 yrs 8 mos
Engineered Image Processing Pipelines: Designed and developed robust, real-time computer vision applications using OpenCV, Python, and C++ for tasks such as object detection, segmentation, and feature extraction. Edge AI Deployment: Deployed deep learning models onto resource-constrained edge devices (e.g., NVIDIA Jetson, Raspberry Pi, Edge TPU), ensuring seamless operation outside of traditional cloud environments. Model Optimization & Acceleration: Accelerated inference speeds by converting and optimizing models using frameworks like NVIDIA TensorRT, ONNX Runtime, and OpenVINO. Video Analytics: Built and integrated real-time video streaming pipelines using GStreamer and RTSP protocols to process multiple camera feeds simultaneously with high FPS. Algorithm Optimization: Applied advanced image processing techniques (morphological operations, contour detection, filtering) to pre-process data and improve the accuracy of downstream neural networks. End-to-End MLOps: Containerized AI applications using Docker to ensure consistent deployment across various edge hardware and managed version control through Git.
Research Assistant
National University of Sciences and Technology (NUST) • Vollzeit
Jan 2025 - Oct 2025 • 9 mos
Worked on the drones and edge AI development boards like jetson Orin nano raspberry pi. Project was to make the drones that can detect other drones and chase them
13 Bewertungen
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Zusammensetzung der Bewertung
- Kommunikation
- Qualität der Lieferung
- Preis-Leistungs-Verhältnis der Lieferung
1–5 von 13 Bewertungen
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butani_vijay010
Indien
Working with Saith Awab was a pleasure. They understood the brief perfectly and kept me updated throughout. They went above and beyond to ensure the final result was perfect
Hilfreich?
mariam434
Vereinigte Arabische Emirate
Happy with the quality of his work and paid close attention to every detail. Highly recommend!
Hilfreich?
sunnysanwar
Vereinigte Staaten
Laufende Zusammenarbeit
Hilfreich?
dorish5
Kasachstan
Saith Awab shows a strong grasp in Data Science & ML, effectively demonstrated by his deep understanding, making collaboration seamless. However, there's room for improvement in meeting client expectations, enhancing attention to detail, and delivering work with a more professional touch.
Hilfreich?
sarhajqjq
Vereinigte Arabische Emirate
Laufende Zusammenarbeit
I was really impressed. He worked very fast and managed to finish everything in just few days, which was way faster than I expected — even though I gave him a longer deadline. The price was also very reasonable and suited me perfectly. Highly recommend!
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