# Shen Juin Lee > Software Engineer Location: San Francisco, California, United States Profile: https://flows.cv/shen Software engineer working on improving and delivering smarter experiences for CAD users ## Work Experience ### Software Engineer @ Autodesk Jan 2024 – Present | San Francisco, California, United States ### Graduate Student @ Duke University Jan 2022 – Jan 2025 | Durham, North Carolina, United States ### Software Engineer Intern @ Autodesk Jan 2023 – Jan 2023 | San Francisco, California, United States - Led the design and development of an AI-powered Q&A system to boost AutoCAD developers' productivity by answering queries using Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) - Built a knowledge base of text and embeddings from collected data to faciliate semantic search and RAG - Performed prompt engineering and experimented with in-context learning of LLMs for closed-domain Q&A tasks - Containerized and deployed the Q&A system in a microservice architecture on Amazon Web Services ### Software Engineer @ Autodesk Jan 2018 – Jan 2022 | Singapore - Designed, developed, and deployed robust backend, DevOps, IaC solutions to support 60+ products & components. - Delivered improvements in product release velocity by implementing process automations and orchestrations. - Demonstrated proficiency in developing software compliant with security best practices and Software Development Life Cycle (SDLC) processes. - Applied software design and engineering knowledge to resolve development and deployment issues, ensuring successful software releases. - Collaborated with cross-functional teams to translate complex business requirements into practical solutions. - Implemented Infrastructure-as-Code (IaC) and Configuration-as-Code (CaC) solutions to reduce toil and improve operational efficiency. - Migrated legacy pipelines and systems to open-source alternatives and helped reduced operating expenditures. ### Final Year Project @ Nanyang Technological University Jan 2017 – Jan 2018 | Singapore Natural Language Processing of restaurant reviews (named entity recognition and sentiment analysis) - Collected review data from the dining domain - Researched and implemented machine learning and deep learning models for entity extraction (named entity recognition) - Explored and experimented with current approaches for entity-dependent sentiment analysis - Developed a system that extracts dish names from review texts and classifies sentiments with respect to extracted dish names ### Localization Solutions, Software Development Intern @ Autodesk Jan 2017 – Jan 2017 | Singapore Responsibilities: script development, bug fixing, test automation, DevOps ### Group Enterprise - IT Systems and Services Intern @ Singtel Jan 2016 – Jan 2016 | Singapore - Worked on improving and updating the logic of applications - Assisted in defining requirements and developing applications ## Education ### Master of Engineering - MEng in Artificial Intelligence Duke University Jan 2022 – Jan 2023 ### Bachelor of Engineering - BE in Computer Science Nanyang Technological University Singapore Jan 2014 – Jan 2018 ## Contact & Social - LinkedIn: https://linkedin.com/in/shenjuin --- Source: https://flows.cv/shen JSON Resume: https://flows.cv/shen/resume.json Last updated: 2026-03-23