cv
Basics
| Name | Hugo Garrido-Lestache Belinchon |
| Label | M.S. Machine Learning Student |
| Hugo@garrido-lestache.co.uk | |
| Url | https://hugogales.github.io/ |
| Summary | Interested in AI, Reinforcement Learning, and cooperative multi‑agent systems; 1st in NVIDIA ROSIE Supercomputer Challenge. Published author attending ICMLA 2025. |
Work
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2025.01 - Present Research Assistant
MSOE
Developing TAAC, a novel Multi‑Agent Reinforcement Learning algorithm to promote collaboration.
- Advisor: Jeremy Kedziora, Ph.D.
- Used self-play, curriculum learning, and attention-based actor-critic methods to achieve state-of-the-art performance in soccer and tower-building environments.
- Published at ICMLA 2025; presented research and released code and blog.
- Came 1st in the MSOE NVIDIA ROSIE Supercomputer Challenge, winning over $9,000 in prizes.
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2023.11 - Present Data Science Intern
Direct Supply
Built and improved AI systems for product data: web scraping, linking, and tagging.
- Reverse Image Search: Prototyped a system to search for products by image for faster retrieval and matching.
- AI Product Web Scraper: Created an AI tool to search, parse and combine unstructured data on the internet to augment the company’s quality and quantity of data.
- AI Product Linking: Improved AI systems to match products together based on semantic similarity.
- AI Product Tagging: Created a System to add tags/attributes to products automatically based on product data. This data can be used to group and filter products and feed future AI Models.
- Developed and Deployed to AWS Full-Stack (FastAPI/React) web application prototypes.
- Heavily utilized OpenAI and Groq, pre-trained LLMs and embedding models.
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2023.09 - 2023.12
Volunteer
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2024.10 - Present Milwaukee, WI
Mentor
MSOE AI Club
Mentoring undergraduates on AI. 2025 cohort built a CNN; 2026 projects include agentic video segmentation, stock prediction, and image colorization.
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2020.09 - 2022.06 United Kingdom
Education
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2025.01 - 2026.08 Milwaukee, WI
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2023.06 - 2023.06 Lucca, Italy
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2022.09 - 2025.12 Milwaukee, WI
Awards
- 2025.01.01
1st in NVIDIA ROSIE Supercomputer Challenge
MSOE & NVIDIA
Won the ROSIE competition; over $9,000 in prizes.
- 2023.01.01
- 2022.01.01
- 2024.01.01
Tau Beta Pi member
Tau Beta Pi
- 2024.01.01
5th in MICS Programming Competition
MICS
Tied for 1st by number of problems solved; placed 5th overall.
- 2021.01.01
- 2025.01.01
Invitation to AI Engineer Code Summit
AI Engineer
- 2024.01.01
- 2020.01.01
Publications
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Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies
ICMLA 2025
Introduces TAAC to enhance collaboration in multi-agent systems using attention-based actor-critic policies.
Skills
| Languages | |
| Python | |
| SQL | |
| Java | |
| C# | |
| C++ | |
| C | |
| HTML |
| Concepts | |
| AI | |
| Machine Learning | |
| Reinforcement Learning | |
| Statistics | |
| EDA | |
| Agile & Scrum |
| Algorithms | |
| Transformers | |
| Embedding Models | |
| PPO | |
| Q-Learning | |
| TAAC | |
| KNN | |
| KMeans | |
| SARIMA |
| Technologies | |
| Git | |
| Vim | |
| LLM | |
| RAG | |
| AWS | |
| Docker | |
| Databricks | |
| Android SDK | |
| APIs | |
| PyTorch | |
| TensorFlow | |
| FastAPI | |
| React | |
| Groq |
| Other | |
| Fluent in Spanish | |
| Learning Portuguese | |
| UK & Spanish Citizen |
Languages
| English | |
| Fluent |
| Spanish | |
| Native |
| Portuguese | |
| Learning |
Interests
| Hobbies | |
| Guitar | |
| Climbing | |
| Puzzles | |
| Yo-yo | |
| Cooking | |
| Unicycle | |
| Gaming | |
| YouTube |