Machine Learning Engineer · LLMs & Agentic AI · ML Infrastructure
I build production-grade AI systems — not demos.
My work sits at the intersection of:
- LLMs & agentic systems
- RAG + retrieval quality
- Backend & ML infrastructure
I focus on reliability, observability, and real-world usefulness.
- RE-ATS — job & hiring trend intelligence across ATS platforms
- Agent memory layer — persistent browser + conversation context
- LLM infra experiments — serving, caching, and GPU efficiency
- Enterprise LLM Agent (Finance) — internal RAG + validation pipelines
- PulseMap — real-time map combining community + official signals
- Personal AI Assistant — hybrid retrieval, memory, streaming responses
- Genomics LLMs — DNABERT & long-context modeling experiments
- 🌐 Website: https://krishna-dhulipalla.github.io
- 🤖 Live bot: https://krishnadhulipalla-chatbot.hf.space
- 📄 Resume: https://go.jooba.com/Yg8jF8h
- 📫 Email: [email protected]
