u
umar033278

Faisalkhan

@umar033278
4.9(8)

Level 1

Computer Vision AI Expert

Pakistán
Inglés, Árabe, Urdu
Parte de la información aparece en idioma inglés.
Sobre mí
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... Lee más

Habilidades

u
umar033278
Faisalkhan
USD 20/hora
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Aplicaciones Full Stack Web
I will do app development and object detection using yolov26 python opencv
4.7(3)
Aplicaciones Full Stack Web
I will train yolo model on your custom dataset with annotation
5.0(2)

¿Quieres trabajar por horas?

Dile a Faisalkhan qué necesitas.

USD 20

/

hora

Porfolio

Experiencia laboral

Computer Vision Software Engineer

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

Jun 2024 - Present • 2 yrs 3 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

8 Reseñas
4.9

(7)
(1)
(0)
(0)
(0)
Desglose de calificaciones
  • Nivel de comunicación del Freelancer
    4.9
  • Calidad de la entrega
    4.9
  • Valor de la entrega
    4.9
1-5 de 8 reseñas
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