SWE @ Google | Waterloo SE Alum
Hi, I’m Rayaq - a Software Engineer at Google and alum of the Software Engineering program at the University of Waterloo. I enjoy working on complex problems across software engineering, machine learning, and mathematics.
2025 — Now
2024 — 2024
⚙️ Remote Build Execution Team
Santa Clara, California, United States
🚀 Frontend Compilers Team
* Accelerating LLMs & Convolutional Models
2023 — 2023
Toronto, Ontario, Canada
IBM EDGE AI & IoT
Computer Vision, Robotics, Machine Learning, PoC, Infrastructure
2022 — 2022
Waterloo, Ontario, Canada
Developed a log anomaly detection platform combining ML, data pipelines, CI/CD, APIs & a NoSQL database
Researched NLP anomaly detection techniques & productionized an unsupervised ensemble model leveraging LSTM/Dense autoencoders, Google’s BERT transformer, and scikit-learn models (IsolationForest, PCA, etc.)
Used Tensorflow, Pandas, and Numpy for model development and achieved high F1-score & accuracy
Improved model inferencing by 38,250% & improved data pipelines by removing redundant logging and API calls
Optimized low level memory usage by 52% via memory tracing, profiling, implementing subprocesses (multiprocessing)
Implemented CI/CD using GitLab Runner and Docker to automate tests ensuring successful integration and deployment
University of Waterloo
Lockerby Composite School
