# Eddie H. > Software Engineer II Location: San Francisco Bay Area, United States Profile: https://flows.cv/eddieh ## Work Experience ### Software Engineer II @ Oracle Jan 2023 – Present Refactored SQL to Python data pipeline to achieve speedup in response time from 30s to <1s in ground-up redesign of poorly written legacy code, resolving a major complaint among federal clients. Led successful multi-team deployment of solutions across thousands of clients including high-stakes federally aligned clients using Oracle Cloud Infrastructure/Python/Jenkins/shell. Simplified HealtheLife Python/node installation process for legacy patient portal from a three-week ordeal to a one-day process for new team members. Led setup and deployment of new patient portal environment for Sweden/Ireland region on Oracle Cloud Infrastructure, organizing cross-team debugging of legacy code migration issues. ### Full Stack Engineer @ Cambly Inc. Jan 2021 – Jan 2022 | San Francisco, California, United States Migrated highly complex, 10000+ line lesson architecture to more modernized architecture with a team of six, using Python, MongoDB, and React/Redux, with a focus on redesigning tutor and student reservation scheduling to the new data model and making design tradeoffs. Designed and implemented an optimized, thread-safe system for controlling group lesson availability for tutors/students to dynamically adjust supply based on demand, significantly reducing the number of unfilled and barely filled group lessons. Designed and successfully launched group lessons, including the underlying backend Python and MongoDB lesson data structures along with the frontend React work with designing tutor signup page and the admin page changes, which has already drawn 1000+ new subscribers without much marketing.. ### Student Researcher @ VLSI Architecture & Synthesis Lab Jan 2019 – Jan 2021 | University of California, Los Angeles: VLSI Architecture & Synthesis Lab Accelerated HLS code running on AWS instances, generating speedups of approximately 200x compared to naive implementations of dot product and knn code. Working on accelerating U-net neural network for biomedical image segmentation on FPGAs. ### Teaching Assistant for Parallel and Distributed Computing at UCLA @ VLSI Architecture & Synthesis Lab Jan 2020 – Jan 2020 | Los Angeles, California, United States Prepared material for and led weekly two hour discussions of 30 students presenting lecture, homework, exam, and lab material. Covered performance optimization for CPUs, GPUs, and FPGAs using SIMD operations, memory alignment, loop transformations, and blocking based on cache size to speed up code by a factor of up to 700x. ### Technical Intern @ Intel Corporation Jan 2020 – Jan 2020 Redesigned large C++ workloads (over 10000 lines) intended to be used on AWS FPGAs for Intel DevCloud functionality, transforming them into OpenCL implementations, targeted towards processing terabyte-sized datasets. Integrated near-data computation technology into C++ prototype code written for previous task. ### Engineering Intern @ MemVerge Jan 2018 – Jan 2019 | San Jose, California Wrote a parallel Python script to generate terabyte-sized network of simulated users for GraphSAGE machine learning algorithm. Tested scalability of company hardware storage capabilities on simulated data, and ability to efficiently run GraphSAGE. Improved GraphSAGE algorithm's memory cost by 20%. Leveraged multiprocessing module and wrote shell scripts to get around Global Interpreter Lock. ### Data Science/NLP Team @ Logos Jan 2018 – Jan 2018 | Greater Los Angeles Area Logos is a crowdsourced news platform for the new age of digital media. Developed back-end algorithms using Google Cloud NLP's Python libraries, integrating them with Flask and Firebase. Worked with a team of data scientists on deep learning algorithms to ensure diversity, veracity, and relevance of news articles, built NLP application for iOS app using Python, TensorFlow, Flask, Firebase's Realtime Database, and the Google Cloud Natural Language API. Built web-crawling application using the PRAW API to scrape terabytes of data from relevant subreddits into a formatted CSV file. ## Education ### Master of Science - MS UCLA ### Bachelor's degree in Computer Science UCLA ### High School Diploma in N/A Aragon High School ## Contact & Social - LinkedIn: https://linkedin.com/in/eddie-h-9659a065 --- Source: https://flows.cv/eddieh JSON Resume: https://flows.cv/eddieh/resume.json Last updated: 2026-03-29