Piero Orderique
Software Engineer at Google
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolPiero Orderique is a software engineer with seven years of experience building NLP, cloud, and ML infrastructure, currently supporting high-performance, accelerator-optimized compute clusters at Google in the Greater Seattle area. An MIT MEng and BS graduate, he has practical experience taking research into production—designing an LLM-based agent with causal inference tools at IBM (patent pending) and contributing a GPT-2 tokenizer and byte-pair encoding utilities to the high-profile tensorflow/tfjs open-source project. He blends systems and applied ML expertise from internships at Google, Microsoft, NVIDIA, and MIT, shipping full-stack refactors, model deployments, and performant robotics and geospatial data tooling. Piero’s work often focuses on making complex models and infrastructure usable—evident in integrations with front-end interfaces and production-ready APIs—and he brings a knack for automations and efficiency gains that have repeatedly reduced runtime and storage costs.
7 years of coding experience
4 years of employment as a software developer
High School Diploma Science and Mathematics, High School Diploma Science and Mathematics at Columbus High SchoolMaster of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Massachusetts Institute of Technology
Spanish, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
tokenize10
tensorflowjs10
machine-learning10
tokenizer10
javascript10
nlp10
natural-language-processing10
typescript-types9
typescript9
typescripts9
deep-learning9
Programming languages (5)
Github contributions (5)
tensorflow/tfjs
Jun 2023 - Aug 2023
A WebGL accelerated JavaScript library for training and deploying ML models.
Role in this project:
ML Engineer
ML EngineerContributions:29 reviews, 50 PRs, 18 pushes in 2 months
Contributions summary:Piero contributed significantly to the tfjs repository by implementing and testing a base class for tokenizers, a crucial component for natural language processing within the TensorFlow.js environment. Their work included adding essential utility functions for byte-pair encoding, such as byte-to-unicode conversion and a cache system, which are fundamental for text processing tasks. Furthermore, the user developed a GPT-2 tokenizer, demonstrating expertise in integrating advanced language models and text processing techniques within the JavaScript environment.
deployingjavascript-librarygpu-accelerationml-modelswebgl
pforderique/Python-Scripts
Apr 2020 - Jul 2021
Hosts my python scripts
Contributions:2 PRs, 188 pushes, 4 branches in 1 year 3 months
pythonhostspython-scriptsaslpython-requests
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