Person
Ranjitha Kulkarni
Staff ML engineer focused on agentic AI, assistant evaluation, retrieval, and pragmatic LLM product engineering.
Background
Ranjitha Gurunath Kulkarni is a Staff Machine Learning Engineer at NeuBird.ai. Her source bio highlights prior work on LLM- and agent-powered product capabilities at Dropbox Dash, plus speech recognition, language modeling, online metrics, and assistant evaluation at Microsoft.
Podcast Contributions
- Building Agentic AI Systems contributes a practical view of agent engineering: tool use, retrieval, evaluation, reliability, and the constraints that determine whether an autonomous workflow is production-ready.
Concepts Connected
- LLMs and AI for modern assistant and agent systems.
- agent engineering for system design around tools, plans, and delegated actions.
- retrieval-augmented generation for grounding agents in external information.
- MLOps and tools for evaluation, reliability, and operational workflow.
Source Links
- Person source:
../datatalksclub.github.io/_people/ranjithakulkarni.md - Podcast source:
../datatalksclub.github.io/_podcast/building-agentic-ai-engineering-tooling-retrieval-evaluation.md