# Eric Qian > Building something new | ex-Scale, Delphina Location: San Francisco, California, United States Profile: https://flows.cv/ericqian I'm particularly interested in using machine learning to optimize individuals' daily decisions in order to improve quality of living and make society more efficient. ## Work Experience ### Software Engineer @ Delphina Jan 2024 – Jan 2025 | San Francisco, California, United States ### Software Engineer @ Scale AI Jan 2021 – Jan 2024 | San Francisco, California, United States Enterprise Generative AI Platform (EGP) - Developed the process for and responsible for deploying EGP and supporting services in customer cloud environments. - Own the EGP infrastructure (production servers, workflow workers, databases, etc). - Designed and implemented the authorization system for EGP. Spellbook - Own the model inference pipeline, core data model, and many system abstractions. - Decreased Spellbook oncall incidents by 1000% as stability DRI. - Responsible for all infrastructure and devops. Mapping - Architected the Globally Consistent Maps (Github for maps) system, which is the foundation for the large-scale mapping product. - DRI for projection quality, ground height estimation, and data preprocessing, which are all critical technologies for the lidar top-down product. ### Undergraduate Researcher @ MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Jan 2019 – Jan 2021 | Cambridge, Massachusetts, United States -Researched models for novel view synthesis and neural rendering in Professor William T. Freeman’s vision group. Supervised by Xiuming Zhang and Zhoutong Zhang. -Proficient with deep learning, 3D geometry, camera physics, reconstruction and localization, data visualization, and traditional computer vision methods. -Familiar with SoTA neural rendering and novel view synthesis techniques (e.g. NeRFs, IBR, etc). ### Teaching Assistant, 6.869 (Graduate Computer Vision) @ Massachusetts Institute of Technology Jan 2021 – Jan 2021 | Cambridge, Massachusetts, United States - Covered topics in classical computer vision and contemporary deep learning. - Wrote and graded problem sets. - Mentored teams for final projects. - Held office hours. ### Software Engineer Intern @ Facebook Jan 2020 – Jan 2020 | Boston, Massachusetts, United States -AI Integrity team -Integrated internal machine learning infrastructure with fblearner pipeline to provide more flexibility and customizability for multimodal model training and evaluation. -Replaced Pytorch Ignite pipelines with Pytorch Lightning for greater code simplicity. ### Software Engineer Intern @ Scale AI Jan 2020 – Jan 2020 | San Francisco, California, United States -Second engineer on the Mapping team. -Developed algorithm to estimate ground elevation from LIDAR point clouds to label in topdown view and project to camera view instead of labeling each frame - increases labeling speed by up to 200x. -Built tools to post-process images and selectively highlight pixels using WebGL for easier and faster data labeling. -Automated tool for labeling road lane centers. -Created linters to automatically correct data labels and highlight additional erroneous regions for human intervention. ### Teaching Assistant, 6.006 (Introduction to Algorithms) @ Massachusetts Institute of Technology Jan 2019 – Jan 2020 | Cambridge, Massachusetts, United States -Led recitations twice a week covering complexity theory, graphs, trees, and dynamic programming. -Proctored and graded exams. ### Instructor @ MIT Global Teaching Labs Jan 2020 – Jan 2020 | Rho, Lombardy, Italy -Taught machine learning to high school students in Milan, covering topics including recommender systems, GANs, VAEs, and CNNs. -Prepared labs for students to implement CNNs and perceptrons ### Software Engineer Intern @ Tableau Software Jan 2019 – Jan 2019 | Seattle, Washington, United States -Constructed telemetry tools to track, view, and analyze user utilizations of various features. -Streamlined internal log tracing by standardizing the ID passed between gRPC services through Protobuf headers. ### Lab Assistant, 6.036 (Introduction to Machine Learning) @ Massachusetts Institute of Technology Jan 2019 – Jan 2019 | Cambridge, Massachusetts, United States -Taught a variety of machine learning techniques, including perceptron, neural networks, reinforcement learning, and decision trees. ### Grader, 6.006 (Introduction to Algorithms) @ Massachusetts Institute of Technology Jan 2019 – Jan 2019 | Cambridge, Massachusetts, United States ### Grader, 6.046 (Design and Analysis of Algorithms) @ Massachusetts Institute of Technology Jan 2019 – Jan 2019 | Cambridge, Massachusetts, United States ### Lab Assistant, 6.009 (Fundamentals of Programming) @ Massachusetts Institute of Technology Jan 2018 – Jan 2018 | Cambridge, Massachusetts, United States -Helped students solve problems using different algorithms, data structures, and recursion techniques in Python. ### Software Engineer Intern @ DeepBench Jan 2019 – Jan 2019 | Boston, Massachusetts, United States -Built a low latency, content-based recommendation system to match clients with experts using natural language processing. -Manipulated and stored data in SQL database and Amazon S3 buckets to speed up algorithm runtime. ### Software Engineer Intern @ Singapore-MIT Alliance for Research & Technology Centre Jan 2018 – Jan 2018 | Singapore, Singapore -Developed an algorithm to generate optimal pairings between ride-sharing vehicles and passengers that decreased wait times by 70% and total distances driven by 30%. -Built a Python framework to test optimizations with varying objective functions for single-ride and ride-share journeys. ### Instructor, 15.S50 (Graduate Seminar - Poker Theory) @ MIT Sloan School of Management Jan 2018 – Jan 2018 | Cambridge, Massachusetts, United States - Covered topics in probability, game theory, and statistics. ## Education ### Master of Engineering - MEng in Electrical Engineering and Computer Science; Concentration in Artificial Intelligence Massachusetts Institute of Technology Jan 2021 – Jan 2021 ### Bachelor of Science - BS in Computer Science and Engineering; Concentration in Philosophy Massachusetts Institute of Technology Jan 2017 – Jan 2021 ### High School Diploma Adlai E. Stevenson High School Jan 2013 – Jan 2017 ## Contact & Social - LinkedIn: https://linkedin.com/in/eric-qian --- Source: https://flows.cv/ericqian JSON Resume: https://flows.cv/ericqian/resume.json Last updated: 2026-03-22