Shah Faisal

AI Researcher

Islamabad, Islāmābād, Pakistan2 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in deep learning and computer vision applications.
Proven track record in real-time AI solutions.
Skilled in edge deployment on platforms like Raspberry Pi.

Stackforce AI infers this person is a Computer Vision and Deep Learning Engineer with a focus on AI solutions for smart environments.

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Skills

Core Skills

Deep LearningComputer Vision

Other Skills

Docker ProductsGaNApplicant Tracking SystemsPose EstimationObject DetectionAir ForceHuman Activity RecognitionETL ToolsNatural Language Processing (NLP)RetinaFaceVector DatabasesSAML 2.0Pandas (Software)AnacondaSeaborn

About

Graduated in 2022 with a Computer Science degree from Iqra University, focusing on computer vision and deep learning. Recently completed a role as a Computer Vision Software Engineer at D2AI.ca Inc., where contributions included designing and deploying AI models for object detection, pose estimation, and human activity recognition in real-time applications like smart cities and security. Demonstrated proficiency in TensorFlow, PyTorch, and OpenCV, with a specialization in edge deployment on platforms such as Raspberry Pi. Dedicated to creating scalable and efficient AI solutions that transform complex visual data into actionable insights, solving industry-specific challenges with innovation and precision.

Experience

Neuvi technology

Computer Vision Engineer

Mar 2026 – Present · 0 mo · United States · Remote

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.

Docker ProductsGaNDeep LearningComputer Vision

D2ai.ca inc. oakville - ontario, l6j 7b3

Computer Vision Software Engineer

Nov 2024 – Apr 2025 · 5 mos · Ontario, Canada · Remote

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.

Applicant Tracking SystemsComputer VisionDeep Learning

Vital tech ind. e com. ltda.

Computer vision engineer and deep learning expert

May 2024 – Mar 2025 · 10 mos · São Paulo, Brazil · Remote

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.

Air ForceApplicant Tracking SystemsDeep LearningComputer Vision

Inoa

Computer Vision Engineer

Jul 2023 – May 2024 · 10 mos · Belgium · Remote

Summary: Expertise in Training and Optimizing Deep Learning Models, Large-Scale Model Deployment, Satellite Image Segmentation, Face Recognition, and Multi-Person Pose Estimation.
Enhanced Situational Awareness through Advanced Object Detection in Real-Time Camera Feeds.
Geo-Referenced Object Detection in Raster Images Using SAHI Slice Prediction and FastAPI.
Implementing a Live Camera Feed Anomaly Detection System Using RetinaFace and Vector Databases.
Developed and Deployed Smoke & Fire Detection System.
Developed and Deployed Drone Detection System.
Integrated Vehicle Identification and License Plate Text Extraction System Using PaddleOCR and EasyOCR
Handling computer vision machine learning deep learning image processing and artificial intelligence projects and AI services

ETL ToolsNatural Language Processing (NLP)Deep LearningComputer Vision