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casper8611

Casper A.

@casper8611

Computer Vision and Deep Learning AI Engineer

Sweden
English, Swedish
About me
Hey there! I'm Casper, an AI engineer who loves making machines see and think. Computer vision, deep learning, and ML are my playground. My toolbox: Python, PyTorch, TensorFlow, OpenCV, Keras, YOLO, Detectron2, Hugging Face, scikit-learn, NumPy, Pandas, ONNX, Docker, and AWS. I build object detection, facial recognition, segmentation, and classification systems using CNNs, transformers, GANs, and transfer learning. Real-world solutions, not just notebook demos. Clean code, solid results, smooth communication. Got an idea? Let's build something cool together!... Read more

Skills

c
casper8611
Casper A.
Offline • 
Average response time: 18 hours

See my services

Computer Vision
I will build ai computer vision solutions for retail
From$400 / projectMore details
AI Mobile Apps
I will develop ai fitness tracking app with pose estimation and analytics
From$650 / projectMore details

Work experience

Senior Computer Vision Engineer

MapleByte • Full-time

Jan 2024 - Jul 2025 • 1 yr 6 mos

Developed AI-powered retail analytics systems using computer vision for real-time customer behavior tracking and security monitoring. Key Deliverables: → People counting and foot traffic analysis with 93% accuracy → Dwell time measurement and customer flow tracking → Movement heatmaps for store layout optimization → Theft detection system with real-time security alerts → Cloud deployment on Azure with REST API integration → Multi-camera setups handling 30+ FPS processing Tech Stack: Python, OpenCV, PyTorch, Azure AI Vision, FastAPI, YOLO Delivered end-to-end production solutions for retail clients, from initial consultation and model training to deployment and documentation. Worked directly with business stakeholders to translate requirements into scalable AI systems.

Computer Vision Engineer

NorthPeak Analytics • Full-time

Feb 2022 - Aug 2023 • 1 yr 6 mos

Built computer vision solutions for security surveillance and industrial automation applications. Key Deliverables: → License plate recognition system for parking management with 96% accuracy → Real-time intrusion detection for restricted area monitoring → Automated defect detection system for manufacturing quality control → PPE compliance monitoring for workplace safety → Video analytics pipelines processing multiple camera feeds → Edge deployment optimization for low-latency inference Tech Stack: Python, OpenCV, TensorFlow, YOLO, Faster R-CNN, Docker Worked across security, parking, and manufacturing sectors. Handled full project lifecycle including data collection, annotation, model training, optimization, and production deployment.

AI/ML Developer

BlueOak Systems • Freelance

Sep 2019 - Dec 2021 • 2 yrs 3 mos

Built machine learning models for healthcare imaging and predictive analytics across multiple industries. Key Deliverables: → Medical image classification for X-ray and CT scan analysis → Skin lesion detection model for dermatology clinics → Customer churn prediction for telecom clients → Predictive maintenance models for manufacturing equipment → End-to-end ML pipelines from data preprocessing to cloud deployment Tech Stack: Python, TensorFlow, PyTorch, Scikit-learn, AWS, Azure Collaborated with cross-functional teams to deliver data-driven solutions that solved real business problems across healthcare, telecom, and industrial sectors.