Remote worker with 3+ years of experience - Last seen 5 months ago

👋 I’m Jorge Veiras-Yanes, a forward-thinking Environmental Data Scientist specializing in leveraging AI to decode complex environmental and geographical data into actionable insights. Currently pioneering at Google London, I’m dedicated to redefining how we perceive and interact with digital spaces through groundbreaking AI technologies.

🌍 At Google’s Maps Department, I lead a transformative project focused on deploying advanced AI techniques for 'Vibe Classification' of restaurants. My role involves:

Engineering robust data collection systems including web scrapers and Vision Transformers.
Achieving a staggering 87% accuracy in vibe detection, shattering the previous benchmark by over 27%.
Spearheading the development of real-time feedback loops in Google Maps to enhance user experience and personalization through AI-driven recommendations.
🔬 Previously, I interned at the Spanish National Research Council, where I utilized satellite imagery to map seagrass distributions and assess blue carbon stocks, crucial for our understanding of environmental impact and climate change mitigation. My findings are contributing to global sustainability efforts, providing a quantifiable pathway to offset CO2 emissions.

🎓 Academically, I am sharpening my skills at Imperial College London, pursuing an MSc in Environmental Data Science and Machine Learning, where my coursework and research are focused on the intersection of environmental challenges and innovative data solutions.

🏆 Recognized for my academic excellence and innovative contributions to environmental data science, my work has been awarded and featured in several international conferences and journals.

💡 Specialties Include:

AI & Machine Learning Deployment
Advanced Programming & Cloud Computing
Environmental & Geospatial Data Analysis
🌐 I’m on a mission to harness the power of AI to make a meaningful impact on the world. Let’s connect and explore how we can drive technological innovation and sustainability together!

🛂 Nationality	🇪🇸 Spain
🏡 Residency	🇬🇧 United Kingdom
📍 Location	🇬🇧 United Kingdom
Remote OK	rok.co/@jveiras
🔗 Website	www.mdpi.com/2673-4931/29/1/10
GitHub	github.com/edsml-jv323
LinkedIn	https://www.linkedin.com/in/jorgeveiras/
Skilled in	pytorch tensorflow python sklearn pandas numpy google earth engine google cloud platform places api selenium beautifulsoup git c plus plus stl mpi parallel computing apache spark data assimilation kalman filters nltk for nlp hugging face time series pca qgis
Fluent in	spanishenglish
Preferred timezone	0, +1,+2
Preferred annual pay (min)	$50,000/year
Preferred hourly pay (min)	$25/hour
Last seen	5 months ago
Signed up	6 months ago
Badges	👨‍💻 Remote worker 🎨 Maker 🎖 Early adopter