Alvaro Lopez Email & Phone Number

Manchester, Gb

Lancaster, Uk

Promoted to Head of Quant

Sentiment Analysis for Portfolio Risk Optimization: Developed a sentiment analysis model for portfolio risk optimizationleveraging real-time data for stock predictions.• Data Collection: Utilized 'yfinance' for historical stock prices and web scraping/APIs for financial news and social media sentiment.• Sentiment Analysis: Employed 'nltk' and 'spaCy' for preprocessing, and BERT for sentiment scoring.• Deep Learning Model: Implemented LSTM networks for time-series data, integrating stock data with sentimentscores and MACD indicators.• Evaluation: Used profit-driven metrics and cumulative gains, benchmarked against ARIMA models.• Deployment: Developed an API using Flask for integration with trading platforms, with ongoing monitoring and retraining for model adaptation.Treasurer | Lancaster University Debatin

Decrease overflow of patients in hospitals and speed up patient care by at least 60% trough a cost and energy efficient interpretable AI solution that also keeps patients data fully private.Allow doctors to be human and work better and quicker, taking at least 50% less time in diagnosis and admin work through AI that automate diagnosis and reports in an interpretable and evolving learning setting.The company is starting now and we are building the product while looking for partners, clients, tests, etc.We are currently being accelerated and funded by iCure UKCurrently partnered with Prof. Plamen Angelov and Lancaster University

North West Uk

Worked within the NWPST University Partnership at Lancaster University to report and audit on existing and emergent security vulnerabilities of AI systems. Reported and audited discoverability tools and defenses as well. This work was carried for a “classified” client intelligence body within the government of the UK

Teaching assistant for Master students on the subject of applied data mining

Lancaster, England, United Kingdom

Teaching assistant for Master students on the subject of data mining

Working along with Phd student Mona Alghamdi and Professor Plamen Angelov towards expanding on my work on Human hand interrogation developed during my last year dissertation using Dense Neural Networks (DNNs) and Siamese Neural Networks (SNNs) amongst other AI methods to produce 2 publications on the matter.

As a TA I help out on labs from computer science. Aiding students on their learning experience and helping with marking when needed.

Worked on an Agile environment as part of the Unsecured Borrowing API Engineering scrum team• Springboard and Service Mesh Maintenance. Allowing the team to run APIs for production quicker by completing essential functional tests using Java Spring Boot and Karate.• Bug detection and fixing. Used tests to detect bugs and performance issues. Fixing them to improve end user experience and creating new utilities for future team members to be able to identify and fix issues quicker.• US/UK innovation bootcamp. Achieved 3rd out of 43 teams on a competition where colleagues from operations and tech at both sides of the Atlantic worked together to create a completely new fintech like solution answering a problem statement raised by Barclay’s CIO• Financial markets training. Received training on finance markets fundamentals and other core finance and banking concepts

Madrid, Community Of Madrid, Spain

• Lead company’s digital transformation. In charge of planning, developing and distributing apps for the company to move from a paper and pen system to the web.• Full-Stack web development. o UI and UX design. Working with different teams, to design solutions in form of apps to some of the company’s workflows, which they could all use and understand to make their work easier. o Developing WebApps to automate KPI gathering and analysis, using multi-platform technologies such as node.js, Angular, Meteor js or Python. o Database implementation. Using different database depending of the purpose of the app, (MySQL or Mongo db) o Unit testing and end to end testing. o Managing deployment and distribution of these on AWS, App-store and Play-store.

Madrid, Community Of Madrid, Spain

• Assisted updating employee details and contracts• Parsed handwritten data from employee’s performance to Excel• Ran statistical analysis and data visualization on performance and control indicators gathered from the workplace

Doctor Of Philosophy - Phd, Computer Science

Working towards obtaining my PhD in Computer science. Researching as part of a bigger project on Secure and Trustworthy Autonomous Systems.

Bachelor Of Science - Bs, Computer Science, First Class Honours

Year 3 modules: Distributed Systems Languages and Compilation Artificial Intelligence Media Coding & Processing Internet applications.