Available for opportunities

Guido Biosca Lasa

Computer Engineering Student specializing in AI + Software Development

Building intelligent systems and scalable software solutions. Currently studying at UPC Barcelona with exchange experience at DTU Copenhagen.

About Me

Get to know me better

Guido Biosca Lasa

Hello! I'm Guido

I'm a Computer Engineering student at UPC Barcelona with a passion for building intelligent systems and scalable software solutions. My journey in tech combines academic excellence with hands-on experience in AI and software development.

Currently, I'm expanding my horizons through an exchange program at DTU Copenhagen, where I'm diving deeper into advanced algorithms and machine learning. I love tackling complex problems and turning innovative ideas into reality.

When I'm not coding, you'll find me exploring new technologies, contributing to open-source projects, or working on personal projects that push the boundaries of what's possible with AI and software.

Location

Copenhagen, Denmark

Education

UPC Barcelona & DTU Copenhage

Focus

AI + Software

Status

Available

Featured Projects

A selection of my recent work in AI, algorithms, and software development

Crypto Market Analysis & Trading Bot
MLBackendData
Crypto Market Analysis & Trading Bot
Real-time multi-exchange analysis of 10,000+ assets
PythonExchange APIsPandasNumPy+2
WayHer – Women’s Safety App (Prototype)
WebMapsSocial
WayHer – Women’s Safety App (Prototype)
Map-based community reporting of unsafe areas
WebREST APIsDatabaseMap UI

Work Experience

Professional journey and achievements

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Software Engineer Intern

Telespazio

Feb 2025 – Aug 2025Barcelona, Spain

Worked on satellite image analysis and backend development for government systems. Led backend features for the Wildlife Registry of Aragón.

  • Designed and implemented API endpoints, authentication, database schema and validation workflows
  • Developed satellite-image based detection to identify vegetation risks near high-voltage lines
Machine Learning Intern

Air-fi

Jul 2024 – Dec 2024Barcelona, Spain

Built machine learning workflows and data pipelines for fall detection in elderly residents using wearable accelerometer and gyroscope sensors.

  • Processed real-time IoT telemetry and time-series sensor streams
  • Cleaned and labeled human-motion data and trained ML models for fall classification

Education

Academic background and achievements

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Universitat Politècnica de Catalunya (UPC)
2022 – PresentBarcelona, Spain

BSc in Computer Engineering

Focus: Computer Engineering with interest in AI, algorithms and backend systems

Technical University of Denmark (DTU)
2025 - PresentCopenhagen, Denmark

Exchange Program • Master-level courses

Focus: Machine Learning, Deep Learning and Advanced Algorithms

Awards & Recognition
High Distinction (Matrícula de Honor) in Programming II – UPC
Top-10 finish in 400+ participant university AI tournament – C++ agent using Dijkstra
Selected to study master-level AI courses at DTU, Technical University of Denmark

Skills & Expertise

Technologies I use to build real projects

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Programming
PythonC++JavaJavaScriptTypeScript
Machine Learning & Data
NumPyPandasScikit-LearnPyTorchTime-seriesOrder BooksNetworkXAlgorithms
Backend & APIs
FastAPIFlaskREST APIsPostgreSQLMongoDBAuthenticationDocker
Tools & DevOps
GitLinuxDockerCI/CDCloudScrum

Let's Build Something Together

I'm always interested in new opportunities, collaborations, and challenging projects.