- Architect and implement multi-agent systems and autonomous workflows using Google AI SDK, LangGraph, and LangChain.
- Build cloud-native AI solutions leveraging Terraform, Kubernetes, and Docker for scalable infrastructure.
- Apply statistical evaluation frameworks, including uncertainty estimation and hypothesis testing for model optimization.
- Develop custom predictive and deep learning models using PyTorch and Scikit-Learn.
- Design generative models for NLP and multimodal tasks using tools like OpenCV and Stable Diffusion concepts.
- Champion MLOps practices by building validated data pipelines and CI/CD/CT workflows with Kubeflow and Vertex AI.
- Collaborate directly with clients to translate business needs into technical AI/ML solutions.
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