Daniel L. Ruiz Blanco
Result-driven Machine Learning Engineer passionate about creating positive impact through ML & AI solutions.
About Me
Working in the software field, I draw inspiration from modern art, open-source projects and minimal music to fuel my creativity and curiosity in developing innovative software solutions. I enjoy environments that value collaboration and embrace innovative, forward-thinking strategies, consistently delivering impactful results.
Work Experience
- Designed and implemented real-world solutions using ML and quantitative analytics.
- Solved business problems by developing traceability algorithms, improving compliance and cost management in manufacturing plants across the US.
- Partnered with engineers to deploy machine learning algorithms, optimising production setpoints in RT environments through AzureML.
- Conveyed complex data science solutions to senior leadership, enhancing collaboration and comprehension.
- Created a GenAI Agent using Azure Bot Framework’s SDK to assist plant managers and operators.
Lead Backend Developer, Founder
- Designed an ETL to process and store 700k+ products, prices, and others in Firebase.
- Developed an Agent using open-source LLM models, allowing interaction with the product via speech or chat.
- Implemented OCR system with ML, reducing product entry time and improving data processing.
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.