Nitish Khatale

Spearheaded NDIS Meeting Analytics Pipeline — LLM automation system transforming unstructured meeting transcripts into compliance-ready DOCX documentation, cutting processing time 97% (90 min → <3 min) and extraction failures by 80% via schema validation, retry orchestration, and hallucination mitigation Architected RankAce, an AI-driven SEO automation platform with LLM-powered content generation, NLP analytics pipelines (readability, semantic relevance, keyword density, technical SEO scoring), and structured JSON validation with automated retry handling and OpenAI API integration Engineered production LLM workflows using Python, OpenAI APIs, and advanced prompt engineering for entity extraction and structured output generation; automated LinkedIn KPI reporting pipelines reducing manual analytics effort by 60%

Applied AI Engineer at Aivo.ai (2025-06 – 2026-06)

• Spearheaded NDIS Meeting Analytics Pipeline — LLM automation system transforming unstructured meeting transcripts into compliance-ready DOCX documentation, cutting processing time 97% (90 min → <3 min) and extraction failures by 80% via schema validation, retry orchestration, and hallucination mitigation
• Architected RankAce, an AI-driven SEO automation platform with LLM-powered content generation, NLP analytics pipelines (readability, semantic relevance, keyword density, technical SEO scoring), and structured JSON validation with automated retry handling and OpenAI API integration
• Engineered production LLM workflows using Python, OpenAI APIs, and advanced prompt engineering for entity extraction and structured output generation; automated LinkedIn KPI reporting pipelines reducing manual analytics effort by 60%

AI Intern at SEO Labs (2025-04 – 2025-05)

• Architected LLM-powered chatbots, voicebots, and autonomous AI agents for B2B lead qualification and customer engagement via n8n, OpenAI APIs, webhooks, Gmail, and Google Sheets, processing 500+ daily interactions end-to-end
• Developed NLP-driven structured data extraction systems converting unstructured conversational inputs into analytics-ready business intelligence datasets; implemented scalable prompt engineering improving lead processing accuracy by 35%

B.Tech in Electronics and Telecommunication – Shri Guru Gobind Singhji Institute Of Engineering and Technology (2025-05)