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SHAH FAISAL
@shahfaisal80678
Computer vision enginner and Deep learnng expert
Pakistan
Inglese
Chi sono
I am a Computer Vision Engineer at NeuViTechnology and a Computer Science graduate from Iqra University (2022). I specialize in deep learning, object detection, segmentation, tracking, pose estimation, behavior analysis, and Vision-Language Models. My work spans research, dataset development, model training, optimization, and real-time deployment across surveillance, retail, traffic, and medical imaging. I bridge AI research and production engineering to build accurate, efficient, and scalable systems that solve real-world problems.
Competenze
SHAH FAISAL
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Implementazione e distribuzione dell'IA
I will build ai traffic and crosswalk analytics with yolo vehicle tracking
Siti Web e software IA
I will build ai people counting and foot traffic analytics using yolo
Portfolio
Esperienza lavorativa
Full time • 3 yrs 11 mos
Computer Vision Engineer
Feb 2026 - Present • 7 mos
I had the opportunity to work with a company on building end-to-end AI solutions, where I focused on fine-tuning, training, testing, and deploying advanced machine learning models. 🔹 Worked on data preprocessing pipelines to ensure high-quality inputs 🔹 Leveraged Vision-Language Models (VLMs) for enhanced multimodal understanding 🔹 Improved model performance through optimization and fine-tuning techniques 🔹 Deployed scalable models for real-world production environments 🔹 Managed the complete ML lifecycle from data preparation to deployment This experience further strengthened my expertise in Deep Learning, Computer Vision, and production-level AI systems.
Computer vision engineer and deep learning expert
Apr 2023 - Aug 2025 • 2 yrs 4 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.
Computer Vision Software Engineer
Jun 2024 - Jun 2025 • 1 yr
I have built intelligent solutions for basketball and football analytics, including player detection, tracking, and performance insights using deep learning and pose estimation. With strong expertise in PyTorch, TensorFlow, and OpenCV, I design efficient models that convert raw visual data into actionable intelligence. My focus is on creating scalable AI applications for sports analytics, surveillance, and smart environments, while optimizing models for edge deployment and real-time performance.
