u
umar033278

Faisalkhan

@umar033278
5,0(1)

Computer Vision AI Expert

Pakistan
Englisch, Arabisch, Urdu
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
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... Mehr lesen

Kompetenzen

u
umar033278
Faisalkhan
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Full-Stack-Webanwendungen
I will build adas lane detection alerts using yolo opencv
5,0(1)
Desktop-Anwendungen
I will develop ai based exam cheating detection with yolov11 lstm

Portfolio

Arbeitserfahrung

Computer Vision Software Engineer

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

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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5,0

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  • Kommunikation
    5
  • Qualität der Lieferung
    5
  • Preis-Leistungs-Verhältnis der Lieferung
    5
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    shaibana

    IN

    Indien

    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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