Building autonomous and evaluation-driven AI workflows with focus on reliable AI behaviors, memory loops, and tool-augmented model execution for real-world applications.
Developing production-aware AI systems with advanced reasoning capabilities, system-level orchestration, and seamless integration of large language models.
Implementing comprehensive evaluation methods and automated testing frameworks to ensure AI system reliability, performance optimization, and quality assurance.
Full-stack development with expertise in Node.js, Python, cloud infrastructure on GCP, and building scalable, testable applications with modern tech stacks.