Daniel L. Ruiz Blanco
Result-driven Machine Learning Engineer passionate about creating positive impact through ML & AI solutions.
About Me
Curious, innovative, perfectionist. I combine inspiration from modern art and open-source projects with deep technical expertise in machine learning and software development. Passionate about crafting robust, scalable solutions, I thrive in collaborative environments that value strategic thinking, technical excellence, and impactful results.
Work Experience
- Worked on diverse projects involving the development and implementation of advanced technologies, including Agentic Generative AI, algorithmic tracing, and near real-time predictive modeling.
- Leveraged deep technical expertise to design robust, scalable solutions and solve complex technical challenges.
- Collaborated closely with and coordinated cross-functional teams across EMEA in agile, fast-paced, and high-pressure environments.
- Regularly delivered critical client-facing presentations, live demonstrations, and facilitated technical discussions, effectively communicating complex concepts to diverse stakeholders.
- Experienced in managing long-term engagements, rapid-response RFPs, and short-term strategic initiatives.
Lead Backend Developer, Founder
Teaching Assistant
Education
King’s College London
Higher Technical School of Engineering (ICAI)
Skills
Projects
Precio al Plato
An NGO aiming to cut grocery costs by 30% annually. Save money every time you shop with an AI & ML powered shopping assistant.
LexAnalytica
Runner-up at the II Legaltech Hackathon at CEG-Comillas. An LLM project aimed to pass with high marks the Spanish law exam, greatly surpassing OpenAI's GPT-4.
Deep Learning Molecular Communication
A parallel communication system capable of encoding, transmitting, receiving, and decoding messages using different molecules through custom deep learning architectures.