Experience:

Design, develop, and implement the behavioral logic and decision-making frameworks for autonomous AI agents

Develop and maintain robust evaluation metrics and testing frameworks to assess agent performance and behavior

Conduct in-depth analysis of LLM performance and identify areas for improvement within the context of agentic tasks

Implement various LLM tuning techniques, including fine-tuning, prompt engineering, reinforcement learning from human feedback (RLHF), and other advanced methodologies

Collaborate with research scientists and other engineers to explore novel approaches in agentic AI and LLM applications

Contribute to the development of our AI platform and infrastructure to support the deployment and scaling of intelligent agents

Stay up-to-date with the latest advancements in AI, machine learning, and specifically in the areas of agentic systems and large language models

Document design specifications, implementation details, and experimental results

📌 AIML Professionals (Hubballi)
🏢 Han Digital Solution
📍 Hubballi