Data Science Leader with 15+ years’ experience designing, deploying, and scaling ML, DL, and LLM-based solutions acrossdiverse industries. Currently focused on Generative AI, with deep expertise in GPT, LLMs, and AI Agents to accelerate innovation and deliver measurable business impact. Proven track record of helping organizations achieve both topline growth and bottom-line efficiency.




Led and built a high-performing AI team (8 Data Scientists, 2 Data
Engineers) to modernize NPS Prism with AI-driven automation,<...
Led and built a high-performing AI team (8 Data Scientists, 2 Data
Engineers) to modernize NPS Prism with AI-driven automation,
deploying scalable solutions using Docker and Kubernetes
Built Text-to-SQL solutions using Generative AI/LLMs fine-tuned on
domain-specific schemas, improving query accuracy by 30–40% and
enabling self-service analytics across business teams
Designed and deployed multi-domain RAG chatbots fine-tuned with
LoRA, integrated with n8n, LangGraph, and CrewAI for workflow
orchestration and multi-agent collaboration, using MCP for context
exchange
Improved survey data quality by detecting fraudulent and low-value
responses through AI-based content validation, saving $4M annually
and enabling more reliable insights
Implemented RLHF pipelines to optimize LLM responses for business-
specific tasks, aligning model outputs with analyst preferences and
improving factual accuracy and relevance by 25%