Unai Garay
About me
As a Senior AI Engineer specializing in Image and Natural Language Processing, I am dedicated to advancing AI solutions through continuous learning and innovation. I thrive in collaborative environments, contributing significantly to team success and fostering a positive work culture.
I find it instructing and entertaining to make side projects on my own, so make sure to visit my portfolio section down below!
When I'm not working, I'm either playing music or doing outdoor activities like bungee jumping, climbing, paddle boarding, etc ...
I also love photography, so make sure to check out my Instagram photography channel.
My latest Resume: Preview
Technical Skills
AI & Machine Learning
LLMs Generative AI NLP Computer Vision PyTorch Transformers Agents RAG
Engineering
Python FastAPI Docker Google Cloud Airflow C# / .NET Angular Mobile (React Native)
Research
Variational Autoencoders Spiking Neural Networks Ontology Integration Feature Engineering
Work Experience
Tekever
Senior LLM Engineer / Data Scientist
April 2025 - Present
Engineered an end-to-end data pipeline that automatically creates Jira tickets from Signal chats. Implemented a conversation clustering algorithm using semantic similarity and temporal analysis, leveraging LLMs to generate structured ticket data.
- Python
- Airflow
- Docker
- LLMs
- Google Cloud Platform
Sorcero
Senior AI Engineer
March 2020 - 2025
Led AI R&D for a Natural Language Understanding platform for unstructured medical data. Key contributions: generative AI theme tagging, NER, summarization, recommendation systems, and a custom neural search engine with Retrieval-Augmented Generation (RAG) and Agents.
- Python
- NLP
- PyTorch
- SpaCy
- Transformers
- FastAPI
- Docker
- Google Cloud Platform
Accenture
Data Scientist
May 2019 - March 2020
Development of a tool that uses Data Analysis, Clustering, Topic Modelling and other NLP algorithms on problem descriptions from ticketing systems to improve ticket resolution.
Development of NLP tagging service to infer people's skills and interests for an employee selection tool.
- Python
- NLP
- Scikit-Learn
- NLTK
- Spacy
- Plotly/Matplotlib
Smartloto S.L.
AI Engineer
July 2018 - April 2019
Development of an end-to-end image validation system of lottery tickets using Deep Learning at scale on Google Cloud Platform, Android and IOS.
- Python
- Flask
- Computer Vision
- TensorFlow
- Tensorflow Lite
- Google Cloud Platform
- Android/Java
- IOS/Swift
- C#
Education
Valencian International University
MSC ARTIFICIAL INTELLIGENCE
2018 - 2019
Master's degree in Artificial Intelligence with a final grade of 8.55.
Technological University of the Shannon, Athlone Campus
Computer Engineering - Erasmus
2016 - 2017
Erasmus experience in AIT (Athlone Institute of Technology), Ireland.
University of Alicante
BSC COMPUTER SCIENCE
2014 - 2018
Bachelor's degree in Computer Science, part of the High Academic Performance group. Achieved a final grade of 7.43.
Projects
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Image Generation
-
Neural Search
-
Grocery Classifier
-
Fitness Tracker
About the Project
Guexit is an AI-driven web based guessing game where players compete using cards created with AI-generated art. The game combines creativity and deduction in an engaging multiplayer experience.
Key Features
- Text-to-image generation using Transformer models
- Interactive multiplayer card game
- High-quality AI art generation
- Scalable cloud architecture
Technologies Used
Angular .NET Python Transformers FastAPI Docker Azure
About the Project
A semantic document search engine that uses transformer models to understand the meaning behind search queries and find relevant documents.
Key Features
- Semantic understanding of search queries
- Context-aware document matching
- Semantic Ranker
- Multi-language support
- Audio Transcription
Technologies Used
Python Haystack Streamlit Transformers Hugging Face Spaces
About the Project
A computer vision system that can identify and classify grocery products from images. The system uses deep learning to recognize products in images.
Key Features
- Grocery Item Recognition
- Streamlit Interface
- Retrain Model in Seconds
Technologies Used
Python PyTorch Streamlit Computer Vision Hugging Face Spaces
About the Project
A modern fitness tracking app that helps users track workouts, monitor progress, and maintain their fitness journey. Built with React Native and Expo for a seamless cross-platform experience.
Key Features
- Track workouts and exercises
- Monitor progress over time
- Log fitness activities
- Customizable settings
- Dark mode support
Technologies Used
React Native Expo TypeScript React Navigation Expo Router