Aishwarya N.

AI Engineer with ~4 years across software and data, focused on shipping reliable, production-ready AI. I pair a strong data foundation with hands-on work from my M.S. in Data Science (SUNY Buffalo) and recent projects at Reality AI Lab and Handshake. I’ve built retrieval-augmented generation (RAG) flows, prompt with evaluation loops, and early agentic automations using pragmatic orchestration like n8n. My sweet spot: turning messy data into usable signals, wiring LLMs to real business logic, and adding guardrails/metrics so features don’t just demo, they endure. I move fast, learn faster, and care about safe, observable AI: clear prompts, testable evaluation, sensible fallbacks, and simple deployment paths. I’m excited to help teams bridge research ideas into dependable AI products that customers actually use.