Nicolo – Python, AWS, Machine learning

A software house providing compliance solutions to a vast number of banking institutions. Nicolo has helped develop a new product for legal document classification to enable institutions to process correspondence from their customers in real time, with better performance than a trained operator.

• Developed a POC using publicly available LLMs to classify text from PDFs;
• Turned the POC into an MVP, creating the backend to use LLMs on-prem rather than in the cloud;
• Developed source code and architecture.

A software house providing compliance solutions to a vast number of banking institutions. For a recent solution that processed a vast amount of financial operations, Nicolo led the transition from MVP to fully fledged product.

• Led the dev team for new features delivery;
• Developed new features;
• Optimized the codebase for scalability and security;
• Be responsible that the product worked smoothly on different setups: in SaaS and on different types of on-prem installations;
• Dealt directly with the clients to solve issues in production.

An AI consultancy startup delivering innovative solutions to institutional clients in Banking and Financial Markets. As an Innovative Startup they consulted clients identifying projects where AI could bring the most value. Additionally, they contributed to the development of a trading platform that was one of the parent company's products.

• Led and supported the growth of the team of data scientists on consultancy projects;
• Built a ML+DL model to predict stock price movements for Institutional clients;
• Handled project management, delivery and post-delivery;
• Identified opportunities and implemented solutions.

A startup developing an innovative AI-powered B2B knowledge platform in the credit space, leveraging canonical and alternative data.

• Led the data team on the design and development of a new AI platform;
• Prioritized projects and influenced the company's strategy;
• Built web scraping agents for data gathering from different sources;
• Worked on a credit-scoring model;
• Used Bert and LLM models for text summarization and sentiment analysis;
• Designed and implemented NER and identity-matching algorithms;
• Deployed containers to AWS.

A tech company leveraging Machine Learning to facilitate B2B sales, offering a platform for enhancing client data and boosting conversion rates effectively.

• Worked on ML modeling for likelihood and value of sale predictions;
• Provided exotic data sourcing and processing;
• Used NLP to classify text content;
• Contributed to social media and website modeling.

A rapidly expanding UK challenger bank focused on sustainability, offering innovative solutions for saving, borrowing, spending, and sharing. Their recent launch of the first credit card aligns with the mission to assist customers in reducing their carbon footprint, driving towards the UK's net-zero carbon emissions target by 2050.

• Developed a new ML credit risk model to better identify customers likely to default;
• Worked on an ML model for application fraud detection and prioritization;
• Provided mail and chat topic modeling for action automation.