Alexandros Mittos, Ph.D.

• Spearheading the company's strategic vision in utilizing Generative AI (GenAI) to transform merchant risk into a growth strategy for payments companies.
• Designing and implementing agentic pipelines that collect and transform unstructured online data into actionable insights for business analysts and risk managers.
• Enabling company employees to make use of cutting-edge GenAI tools and processes to increase productivity.

• Spearheaded the development and improvement of a GenAI-powered Retrieval-Augmented Generation (RAG) application from inception to production for a major bank when the GenAI and RAG fields were at their inception.
• Designed and implemented from scratch a fully bespoke evaluation framework for said RAG application.
• Worked on and/or led various other projects for different clients, including designing and implementing ML and NLP models for a global Robotic Process Automation (RPA) company, prototyping a solution to address common bottlenecks in Document Understanding projects using synthetic data, and helping a leading UK-based grocery chain conduct basket analysis and customer behavior analytics.
• Conducted interviews for prospective data scientist hires.
• Guided and supported the professional development of junior data scientists.

• Obtained security clearance for a government client project, developing classification pipelines using state-of-the-art (at the time) models such as BERT, XGBoost, and Random Forest, while visualizing data and extracting actionable insights for stakeholders.
• Designed and maintained a data quality pipeline to ensure report accuracy.
• Guided and supported the professional development of junior data scientists.

• Trained, evaluated, and optimized the performance of various Machine Learning and Natural Language Processing models (including XGBoost, Random Forests, BERT, and Logistic Regression) for the identification of online hate speech.
• Investigated the impact of engineered features on the accuracy and efficiency of hate speech classifiers, driving improvements in model performance.
• Assessed the influence of different dataset annotation techniques on the performance and reliability of online hate speech classifiers, contributing to the development of more robust detection methods.

• Awarded a prestigious Horizon 2020 Marie Skłodowska-Curie Fellowship as part of the Privacy & Usability Innovative Training Network.
• Employed Machine Learning and Natural Language Processing techniques (Word Embeddings, LDA, Sentiment Analysis, Computer Vision) to investigate the use of direct-to-consumer genetic testing by far-right groups for promoting racist ideologies.
  Media Coverage The Times, StatNews
• Conducted three large-scale studies on social media platform datasets (Twitter, Reddit, 4chan), analyzing over 1.3 million comments. Leveraged NoSQL (MongoDB) for data storage, management, and transformation.
• Performed a critical evaluation and synthesis of research within the genome privacy community, focusing on privacy-enhancing technologies for testing, storing, and sharing genomic data.

• Designed and ran a survey on the public perceptions of direct-to-consumer genetic testing.

• Studied how health and genetic data is being handled under GDPR.

Acted as a Teaching Assistant for the following courses:

• Database Structures I.
• Information System Analysis and Design.
• Comprehending Data Structures using C and/or C++.
• Learning the Java programming language.

• In 2011 I co-created OSArena.net which was at the time the largest Greek community on Open Source Operating Systems and Software, featuring news, guides, and opinion articles on Linux, Android, Hardware, Hacking, Privacy, and Security. I was an active author until November 2013.