Software Engineer · Microsoft Azure High Performance Computing · diiruo@gmail.com · Resume
I care deeply about solving problems through engineering and machine learning. I've worked across distributed GPU infrastructure, computer vision, supply chain, finance, and cybersecurity.
Pontifical University of Chile · Recommender Systems Lab
Built a recommender system driven by electroencephalography (EEG) brain signals. Used the DEAP dataset (32 subjects, 32 EEG channels, 128 Hz) to generate topographic brain maps via the MNE library. Fed EEG-derived features into a Transformer encoder with multi-head attention to classify video preferences from brain activity. Constructed user-item interaction matrices and applied collaborative filtering to predict content recommendations. Evaluated with MAP, nDCG, and precision@k.
Pontifical University of Chile · Fluid Mechanics
Designed and 3D-printed a Lagrangian ocean drifter for measuring surface currents. Modeled hydrodynamic drag and vortex shedding using computational fluid dynamics simulations. Fabricated custom components (blades, cylinder, housing) via FDM 3D printing, iterated on geometries to minimize drift error. Validated against in-situ oceanographic measurements.
Twenty Billion Neurons · Company advised by Yoshua Bengio
Worked on deep learning technologies for real-world video understanding and human movement recognition. Developed and deployed production code to analyze video streams, utilizing custom lightweight 3D-CNN architectures to extract spatial-temporal meaning and classify gestures in real-time. TwentyBN authored the foundational "Something-Something" and "Jester" datasets for video understanding. Company acquired by Qualcomm.
University of Texas at Austin · Wireless Networking and Communications Group
Conducted deep learning research on convolutional generative adversarial networks (ConvGANs) under Alex Dimakis. Implemented and trained GAN architectures in PyTorch/TensorFlow for image generation and reconstruction tasks. Explored latent space representations and adversarial training stability.
Built SCx, the fleet operations system for Azure's AI supercomputers. Power, repave, and thermal operations across tens of thousands of GPU nodes (GB300, H200, H100). LLM inference for Copilot: millions of prompts per hour, sub-ms latency, GDPR-compliant.
Refactored distributed Go microservices and Terraform on AWS powering phishing and threat detection, cutting cloud spend ~75% (~$3M/yr).
Real-time video-understanding models powering Fitness Ally, 20BN's AI fitness coach. Company advised by Yoshua Bengio, acquired by Qualcomm.
Seven-month internship optimizing delivery speed promises across Amazon's EU fulfillment network. Modeled product placement and routing across fulfillment centers, distribution nodes, and last-mile handoffs to minimize delivery time, impacting the 1-day and 2-day delivery promises.
Built real-time ETF data visualization tools using D3.js and Python, supporting the launch of new financial products.
Selected for Huawei's Seeds for the Future program. Studied telecom infrastructure in Shenzhen and Beijing.
Replaced Excel workflows with scikit-learn and Keras models for APR price optimization on SMB transactional data.
Validated a reinforcement learning approach to analog chip design through interviews with 100s of users. Pitched to deep-tech VCs including HAX.
Built a two-sided marketplace for blood donations. Secured 3 government grants, negotiated integration pilots with major hospital networks.
Bootstrapped from high school to ~$100k ARR at peak with ~1,000 weekly players. Orchestrated logistics for amateur sports leagues across Santiago. $250k+ cumulative revenue, $100k+ donated to charity.
Mapped two municipalities using DJI fleets. Models supported a $50k Architecture Award project. Designed and assembled custom UAVs for experimental flight.
Imported and sold 400+ Raspberry Pi microcontrollers, bridging supply gaps in LATAM at high margins.
Full scholarship as AI researcher under Alex Dimakis at the Wireless Networking and Communications Group. First undergraduate awarded the Bridge research scholarship, traditionally reserved for graduate students.
Computer Science Engineering (Ingeniería Civil en Computación), a 6-year professional degree with a minor in Statistics. Three research and entrepreneurship scholarships. TA across eight courses. Chapter author, 'ChatGPT und andere Quatschmaschinen' (transcript Verlag, 2023).
Technology has been a means to explore the world. I've worked and done research across very different cultures and companies. Offline, I enjoy freediving, road cycling, and hiking. I've visited 40+ countries, freedove with humpback whales in French Polynesia, toured Shenzhen and Beijing for free thanks to a cold email, and raised over $300k for charity along the way.
![[Poster]](https://github.com/Iruretagoyena/RecommenderSystemEEGSignals/blob/main/Poster.png){kind=link}