# Maggie (Jiahe) Yi > maxing out claude tokens Location: New York, New York, United States Profile: https://flows.cv/maggiejiaheyi Hi! I’m a software engineer who likes building things that don’t exist yet and solving hard problems with what I build. Right now I’m rethinking how AI systems are built around humans and how to push through the current bottlenecks. I work across the stack, from backend to product. I’m looking to put my problem-solving, technical, and analytical skills toward solving real problems and leaving a dent. ## Work Experience ### Software Engineer II @ BlackRock Jan 2026 – Jan 2026 | New York, United States ### Software Engineer @ BlackRock Jan 2023 – Jan 2026 | New York, United States ### Software Engineer Intern @ ArsenalBio Jan 2023 – Jan 2023 | South San Francisco, California, United States ### Machine Learning Engineer @ Launchpad (UC Berkeley) Jan 2021 – Jan 2023 | Berkeley, California, United States (Fall 2022) Project Lead - GeoKnowr • Leading a deep learning project of a team of 6 to develop a end-to-end GeoGuessr location prediction interface using both classification and regression • Building new models using few-shot representation learning and Meta-RL, and improving existing models performances such as Google PlaNet CNNs (Fall 2021) Machine Learning Engineer - Inflection • Worked with Launchpad internal team on Alexa voice conversion (VC) model that takes in any sample voice and converts voice assistance to the speaker’s voice • Feature engineered vector representations of model inputs with low-level Python libraries such as Pyworld, Pysptk, and speech synthesis libraries like nnmnkwii • Trained CNN models on audio files converted as MFCCs with filterbanks, Reduced training time with time-warped parallel data and Mel Cepstrum predictors ### Software Engineer Intern @ BlackRock Jan 2022 – Jan 2022 | New York, New York, United States • Automated generation of summary reports from iShares time series data, deployed into production within a month and achieve high evaluation metrics • Implemented few-shot ML models for natural language generation using dual weights LSTM, Hidden Markov Models, and PLM • Improved model scalability with customized GPT, eicient data generation, and Tableau API integration for augmented analysis and data insight derivations • Delivered a customizable NLG model which removed the need for a third party solution costing over $300k ### Undergraduate Simulation Researcher @ Model Predictive Control Lab at Berkeley Jan 2020 – Jan 2022 | Berkeley, California, United States • Prototyped autonomous driving playgrounds, trajectory & control responses in simulated crowd traffics using model predictive control methods with openGL/Python ### Mobile Application Developer @ MDB Jan 2020 – Jan 2022 | Berkeley, CA • Building an iOS app for black communities and organizations on UC Berkeley campus to increase scholarship visibility; Helping new members with training program materials • Implemented user authentication, iOS calendar, and search & filter functionalities programmatically with decentralized framework managers; Experienced in Cocoapods, Google Firebase, Realtime Database, and JSON data structure designs • Joined a highly selective community of mobile developers; Developed 4 iOS applications within 4 weeks, using UI SDK, MVC model, and RESTful API ### iOS Developer @ Heart of the Valley Pediatric Cardiology Jan 2020 – Jan 2020 • Built an end-to-end iOS app to integrate patients' medical records across nationwide hospitals, and allow patients to contact doctors and track medical data • Implemented email/password user authentication using Google Firebase (for JSON data storage and retrieval), Cocoapods, Realtime Database in an MVC model • Implemented calendar view with decentralized framework manager Carthage; implemented segues with Objective-C methods and SwiftUI ### Data Science Intern @ BroadRiver Asset Management, L.P. Jan 2020 – Jan 2020 | United States • Designed and implemented custom credit risk analysis models for investment decisions; Contributed to transaction database structure design and formatting ### Control System Student Engineer @ The University of Tennessee at Chattanooga Jan 2018 – Jan 2019 | Chattanooga, Tennessee, United States • Designed and created a self-correcting attitude control system for CubeSats with realtime feedback, using Arduino Uno, Electronic Speed Controllers, and brushless DC motors; Implemented PID controller; designed and manufactured custom reaction wheels using SolidWorks • Integrated the system using I2C protocol and ran Bode plots analysis in MatLab using Laplace transform • Solved ESC signal deadband non-responsiveness problem mathematically in software, significantly improving correction performance • Programmed software in Arduino IDE with C/C++ and tested response accuracy with 3D Teapot simulation & 2D physical tests; Verified motor function with error data and linearity • Delivered strong-performing product to company experts and college professors; project performance selected as top 2 out of over 20 groups ### Virtual Reality Development Intern @ Tennessee Tech University's iCube Jan 2018 – Jan 2019 • Led and collaborated with a team of 3 and created a VR program for the solar system with a realistic scale; Aim to provide a realistic scale of the solar system in primary education • Developed auto-walk, voice control, and interactive panels • Presented at iCube at Tennessee Tech University with excellent feedback ### Mathematics/Science Tutor @ Baylor School Jan 2016 – Jan 2019 | Chattanooga, Tennessee Area • Tutored in one-on-one and group sessions on math topics, including algebra, geometry, calculus • Volunteered tutoring for 8 hours each week in the Baylor Student Learning Center ### Laboratory Assistant @ MIT Center for Real Estate Jan 2018 – Jan 2018 | Boston, MA • Assisted research project on "How does urban agglomeration integration promote entrepreneurship in China" with Assistant Prof. Rui Du • Learned Cobb-Douglas utility function within the span of 1 month • Collected categorical data for major Chinese cities to assist research ## Education ### Undergraduate in Applied Mathematics, Computer Science University of California, Berkeley Jan 2019 – Jan 2023 ### High School Diploma Baylor School Jan 2016 – Jan 2019 ## Contact & Social - LinkedIn: https://linkedin.com/in/maggie-jiahe-yi - GitHub: https://github.com/jiaheyi-maggie --- Source: https://flows.cv/maggiejiaheyi JSON Resume: https://flows.cv/maggiejiaheyi/resume.json Last updated: 2026-03-23