senior-computer-vision

name

senior-computer-vision

description

World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.

Senior Computer Vision Engineer

World-class senior computer vision engineer skill for production-grade AI/ML/Data systems.

Quick Start

Main Capabilities

# Core Tool 1
python scripts/vision_model_trainer.py --input data/ --output results/

# Core Tool 2  
python scripts/inference_optimizer.py --target project/ --analyze

# Core Tool 3
python scripts/dataset_pipeline_builder.py --config config.yaml --deploy

Core Expertise

This skill covers world-class capabilities in:

• Advanced production patterns and architectures
• Scalable system design and implementation
• Performance optimization at scale
• MLOps and DataOps best practices
• Real-time processing and inference
• Distributed computing frameworks
• Model deployment and monitoring
• Security and compliance
• Cost optimization
• Team leadership and mentoring

Tech Stack

Languages: Python, SQL, R, Scala, Go ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost Data Tools: Spark, Airflow, dbt, Kafka, Databricks LLM Frameworks: LangChain, LlamaIndex, DSPy Deployment: Docker, Kubernetes, AWS/GCP/Azure Monitoring: MLflow, Weights & Biases, Prometheus PostgreSQL, BigQuery, Snowflake, Pinecone