Assess existing performance testing and engineering processes to identify automation and optimization opportunities using GenAI.



Design, develop, and implement GenAI-powered solutions, AI agents, and LLM-based automation to reduce manual effort and improve testing efficiency.



Architect scalable and secure GenAI solutions for enterprise environments.



Evaluate suitable LLMs, AI models, and copilots for performance testing and engineering use cases.



Perform performance testing, monitoring, bottleneck identification, root-cause analysis, and system tuning.



Integrate GenAI solutions with existing engineering tools, CI/CD pipelines, and testing workflows.



Collaborate with clients, development teams, infrastructure teams, and business stakeholders to gather requirements and demonstrate solutions.



Lead NFT delivery, manage large teams and complex projects, and implement Shift-Left and Shift-Right testing strategies.



Develop performance improvement plans, identify project risks, and implement mitigation strategies.



Monitor, validate, and continuously improve GenAI solutions to ensure accuracy, scalability, security, and business value.



Prepare solution architecture documents, technical documentation, user guides, and training materials.



Conduct training and knowledge transfer sessions for internal teams and clients.



Stay updated on emerging GenAI, LLM, AI-agent, and performance engineering technologies.