Summary
Maniz Shrestha is a Senior Staff Software Engineer and tech lead with nine years of experience building AI-driven, cloud-native systems for highly regulated healthcare environments. At Genentech she has led production LLMs, real‑time adverse event detection, and an omnichannel conversational intelligence platform that integrates 20+ backend systems while preserving traceability, compliance, and safety. Comfortable across the full stack, she pairs deep technical delivery—STT pipelines, RAG, secure architectures, and ML evaluation frameworks—with product-minded rigor rooted in economics and incentives. She excels at turning ambiguous, high-stakes problems into measurable systems by aligning people, infrastructure, and metrics to maximize marginal value. Her work uniquely blends patient-safety sensitivity with pragmatic trade-offs, simplifying complexity for end users without compromising regulatory guardrails.
9 years of coding experience
8 years of employment as a software developer
Cambridge Univeristy Advanced Level Science, Cambridge Univeristy Advanced Level Science at Rato Bangala School
Bachelor of Arts - BA Computer Science and Economics, Bachelor of Arts - BA Computer Science and Economics at Earlham College
Middle School Diploma, Middle School Diploma at Shuvatara School
School Leaving Certificate, School Leaving Certificate at Malpi International School
Master of Science in Engineering in Artificial Intelligence, Master of Science in Engineering in Artificial Intelligence at University of Pennsylvania
Product Management Specialization Product Management, Product Management Specialization Product Management at Stanford University
English, Nepali, Nepal Bhasa, Hindi