# Haiyu Luo > Software Engineer @ Applied Intuition Location: San Francisco Bay Area, United States Profile: https://flows.cv/haiyuluo I am a Software Engineer at Applied Intuition. Previously I worked at Otter.ai focusing on Core Product and Enterprise features. I have graduated from Columbia University in Computer Science major with a focus on Intelligent Systems and Software Systems. Please visit my website (https://www.nick-luo.com/) to learn more about my projects and experiences. I'm open to discussing technology, sports, or just anything else! ## Work Experience ### Software Engineer @ Applied Intuition Jan 2026 – Present | Sunnyvale, California, United States ### Software Engineer, Backend @ Otter.ai Jan 2024 – Jan 2026 | Mountain View, California, United States ▪ Led and built Otter’s first Meeting Types, Rules Engine, Workflow, and AI Classification systems from 0 to 1, enabling new automated insight and action pipelines. Blog post: https://lnkd.in/dEEfPApH ▪ Enhanced Otter's insights/action items/summary/outline systems. ▪ Scaled the weekly digest/summary email systems. ### Software Engineer @ Columbia Build Lab Jan 2023 – Jan 2024 | New York, New York, United States ▪ Developed a web application for an HR Platform with React.js and deployed with AWS (EC2, S3). ▪ Built an authentication backend (10+ endpoints total) for 2000+ users to control user access using Node.js and FastAPI with JWT and OAuth2, storing data in PostgreSQL and deployed through AWS RDS, API Gateway, Lambda, and EC2. ▪ Designed the data model and constructed the backend (20+ endpoints total), piped from Indeed, for company's recruiting portal with FastAPI and SQL, deployed with AWS RDS. ### Data Analyst @ Polywill Advanced Material Shanghai Co.Ltd. Jan 2019 – Jan 2023 ▪ Processed data (5000+ entry per year) from the financial database and performed financial analysis on categories including industries, products, R&D, and functions based on its half-year and full-year data for two weeks duration per six months. ▪ Reduced 640+ hours in total for management team by conducting a detailed analysis of the customers for more than 200 companies, concluding the trend of the performance of the sales, and aggregating data to have a greater scope of the sales performance for the whole year and the importance of the customers. ▪ Developed a smart database backed with SQL and enabling data flow with Airflow, built Flask function to optimize the querying and analytic process. ▪ Designed the PowerPoint presentation and present the data analysis to help the sales team visualizing their performance in the last season and tasks for the next sales season. ### NLP Engineer @ VentureCopilot, Inc Jan 2023 – Jan 2023 | New York City Metropolitan Area ▪ Designed and Constructed company’s chatbots APIs, developing with FastAPI, fine-tuning with PyTorch on RunPod, storing data in SQL and Pinecone (vectorDB) for backend, and deploying with Docker on Azure (Hosting database server), integrated CI/CD. ▪ Constructed company’s data pipeline API that converts customers' data into structured data storing in SQL database and vector database, leveraging the power of Large Language Models, developed in FastAPI. ▪ Reviewed research papers on large language models’ performance enhancement, applying state-of-the-art techniques, such as in-context learning, fine-tuning, Chain-of-Thoughts, and prompt-engineering, to enhance chatbot interactions on self-constructed testing platform. ### Research Assistant @ Columbia University Jan 2023 – Jan 2023 | New York City Metropolitan Area ▪ Implementing Parallel Differential Dynamic Programming in CUDA C++ with Pendulum and integrating Grid Library in Python and CUDA C++ ▪ Developing new features for trajectory optimization such as Penalty and BoxQP with Python and CUDA C++. ### Research Assistant @ Middlebury College Jan 2021 – Jan 2022 | Middlebury, Vermont, United States ▪ Developed and tested a greedy algorithm incorporated weighted function and different heuristics in Java inspired by Activity Selection that takes users’ requests with pick-up locations, drop-off locations, departure/arrival time as input and outputs an optimal schedule for drivers to help the dispatchers arrange users’ requests automatically. ▪ Designed and constructed an app that includes a website and database allowing users to submit their requests and the dispatchers to dispatch; employed Django as framework, and MySQL as the database management system, serving 600+ users. ▪ Accomplished a 100,000ms run time reduction compared to the brute-force algorithm with a 90% approximation to the optimal arrangement of passengers’ requests for the dispatchers. ▪ Mentored 4 new research assistants to continue work on the project and taught them how to contribute on top of the tech stack with the source code. ### Computer Science Grader/Tutor (Artificial Intelligence) @ Middlebury College Jan 2022 – Jan 2022 | Middlebury, Vermont, United States ▪ Organizing tutor session for 40 students and inspiring them to work on their assignment twice a week ▪ Cooperating with professors to grade assignments of two classes of students every week ## Education ### Bachelor's degree in Computer Science Columbia Engineering ### Bachelor of Arts - BA in Computer Science, Hispanic Studies Middlebury College ## Contact & Social - LinkedIn: https://linkedin.com/in/haiyu-luo-772460195 - Portfolio: https://www.nick-luo.com/ --- Source: https://flows.cv/haiyuluo JSON Resume: https://flows.cv/haiyuluo/resume.json Last updated: 2026-04-11