Summary
Neha Khairnar is a full-stack software engineer with a decade of professional experience and 2+ years focused on AI-driven automation, currently building production-grade LLM-powered chatbots and ML pipelines at Bank of America. She combines Python backend expertise (Tornado, FastAPI), React/TypeScript front-ends, and containerized CI/CD workflows (Jenkins, Docker, OpenShift) to deliver secure, compliant systems for regulated environments. Neha has hands-on experience deploying Rasa and LLaMA-based models, designing RAG pipelines and guardrails for safe agentic behavior, which reduced query resolution and manual intervention times across trading and support workflows. Her work blends engineering rigor with product sensibility—creating observable, scalable services that improve governance and operational confidence. Based in Mumbai, she is passionate about pragmatic GenAI adoption and frequently bridges cross-functional teams to turn runtime pain points into measurable automation outcomes. An unexpected strength is her experience integrating conversational agents into enterprise communication platforms (e.g., Symphony), expanding real-world user reach beyond typical web UIs.
10 years of coding experience
B.Tech Information Technology, B.Tech Information Technology at Veermata Jijabai Technological Institute (VJTI)