# Brandon T. > Software Engineer @ Microsoft | Harvard AB/SM Location: San Francisco Bay Area, United States Profile: https://flows.cv/brandont2 Building at the intersection of engineering and machine learning. ## Work Experience ### Software Engineer @ Microsoft Jan 2023 – Present | Mountain View, California, United States Designed and implemented multi-threaded, asynchronous data pipeline in Rust to replace the legacy C# implementation that processes billions of audit logs per day. Created a spatial hardware inventory dataset and built a machine learning pipeline for failure detection, reaching an 80% true positive rate on an imbalanced dataset. ### Machine Learning Researcher @ Harvard Medical School Jan 2022 – Jan 2023 | Cambridge, Massachusetts, United States Developed an end-to-end, multi-modal data preprocessing and ML pipeline for image captioning classification. Published thesis paper, supervised by Professor Gabriel Kreiman. Created a custom image-text dataset, generated contextual embeddings from BERT and ResNet-18, and leveraged PCA dimensionality reduction to improve efficiency. Implemented training + inference with ML classifiers (SVM, Naive Bayes, DNN) on compressed contextual embeddings, achieving 70% accuracy (competitive with SOTA) with a linear SVM compared to 40.4% with static embeddings. ### Machine Learning Engineer @ Stochastic Jan 2021 – Jan 2021 | Cambridge, MA Implemented post-training, attention head pruning (magnitude/gradient) for transformer pipeline. Benchmarking inference performance with ONNX Runtime on AWS instance with Docker. Wrote a PyTorch to ONNX converter and backing for FastT5 transformer pipeline, resulting in a 2x inference speed up. ## Education ### Master of Science - MS in Computer Science Harvard John A. Paulson School of Engineering and Applied Sciences ### Bachelor of Arts - BA in Applied Mathematics, Economics and Computer Science Harvard University ### Massachusetts Institute of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/brandontang18 --- Source: https://flows.cv/brandont2 JSON Resume: https://flows.cv/brandont2/resume.json Last updated: 2026-03-29