u
umar033278

Faisalkhan

@umar033278
5,0(1)

Computer Vision AI Expert

Pakistan
Engels, Arabisch, Urdu
Sommige informatie wordt in het Engels weergegeven.
Over mij
Experienced Computer Vision Engineer and Deep Learning Expert with strong skills in Python, TensorFlow, PyTorch, and OpenCV. Specialized in object detection, pose estimation, generative AI, and predictive analytics. Proficient in Power BI, Tableau, and deploying AI at scale using Databricks, SQL, and cloud platforms. Delivered solutions for medical imaging, smart cities, and R&D with advanced models like YOLO, ViT, GANs, and DeepSORT... Lees meer

Skills

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umar033278
Faisalkhan
offline • 
Gemiddelde reactietijd: 1 uur

Bekijk mijn diensten

Full stack webapplicaties
I will build adas lane detection alerts using yolo opencv
5,0(1)
Desktopapplicaties
I will develop ai based exam cheating detection with yolov11 lstm

Portfolio

Werkervaring

Computer Vision Software Engineer

D2AI.ca Inc. Oakville - Ontario, L6J 7B3 • Fulltime

Jun 2024 - Present1 yr 11 mos

As a Computer Vision Engineer and Deep Learning Expert, I design and deploy advanced AI models that push the boundaries of machine perception. With expertise in object detection, pose estimation, and human activity recognition, I bring real-time intelligence to applications in smart cities, security, and beyond. Skilled in TensorFlow, PyTorch, and OpenCV, I craft solutions that transform vast amounts of visual data into actionable insights. My work spans edge deployment on platforms like Raspberry Pi, optimizing AI for both efficiency and accuracy. Passionate about innovation, I deliver robust, scalable solutions tailored to tackle industry-specific challenges in a constantly evolving field

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Specificering van de beoordeling
  • Communicatieniveau van de freelancer
    5
  • Kwaliteit van de levering
    5
  • Waarde van de levering
    5
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    shaibana

    IN

    India

    5

    Though it was a custom model, he was quick to tailor it to meet our requirements with efficient planning and delivery. Documentation was well-maintained, and team communication was seamless throughout. The architecture does allow for future integrations such as automatic number plate recognition, vehicle...

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    1 dag

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    gig

    Full stack webapplicaties

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