Onisa Mapunda

I architect cutting-edge AI systems that transform business operations and create sustainable competitive advantages. As a hands-on expert in advanced machine learning techniques, I specialize in developing bespoke solutions that deliver quantifiable business impact with rapid time-to-value.

My Technical Mastery:

• Pioneering deep learning architectures customized for unique business problems
• End-to-end MLOps implementation with automated retraining, monitoring, and governance State-of-the-art computer vision enabling real-time object detection and semantic segmentation
• Advanced NLP for complex language understanding, sentiment analysis, and content generation
• Sophisticated time-series forecasting incorporating multivariate signals and causal factors
• High-performance feature engineering optimized for computational efficiency and accuracy

My robust technical stack encompasses Python, PyTorch, Hugging Face transformers, scikit-learn, Apache Spark, Docker, Kubernetes, and all major cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI). I excel at leveraging GPU acceleration and distributed computing for model training at scale.

I've delivered mission-critical AI solutions across financial services, healthcare, e-commerce, manufacturing, and energy sectors, consistently exceeding ROI targets. My collaborative approach bridges the gap between technical implementation and business strategy, ensuring AI investments directly address core organizational objectives.

Clients value my ability to rapidly prototype solutions, communicate complex concepts to stakeholders, and implement production-grade systems that scale. I maintain a consistent focus on ethical AI practices, data privacy, and model explainability throughout the development lifecycle.

Ready to elevate your organization's capabilities through applied artificial intelligence and machine learning excellence.