Panith Chitturi

I've evaluated Generative AI and voice-agent outputs at Innodata, improving production reliability through accuracy, logic, and safety rubrics. I investigate hallucinations, reasoning gaps, and formatting issues, then turn findings into validation guidance and regression tests.

As an independent AI and solutions consultant, I built custom AI applications and automated workflows with Gemini and OpenAI APIs. My prototypes included PRD generation engines and diagnostic prompt-evaluation dashboards that demonstrated enterprise AI feasibility.

At App Bezz Infotech, I partnered with stakeholders to define secure LLM integration requirements, optimized structured prompts for business workflows, and built REST API data pipelines for internal AI applications.

I'm focused on practical Generative AI: RAG, guardrails, multi-agent workflows, evaluation frameworks, and multimodal products including image and text-to-video tools. I enjoy translating unstructured business needs into dependable AI systems that teams can use confidently.