Kostas Kouvaris, Ph.D. Email & Phone Number

Greater London, England, United Kingdom

• Prototyping, development, deployment, and monitoring of multi-modal neural network-based models for Information Extraction from expense documents (e.g., invoices and scanned receipts).
• Leading the end-to-end setup and management of data annotation efforts by selecting suitable tools, developing and implementing data collection pipelines, formulating domain-specific ontologies, and managing project.
• Leading the end-to-end setup and management of data annotation efforts by selecting suitable tools, developing and implementing data collection pipelines, formulating domain-specific ontologies, and managing project.
• Pioneering and prototyping of solutions utilising Large Language Models (LLMs) into our service offerings, enabling users to query their data with natural language, enhancing user experience and accessibility.
• Designing, implementing, and testing data pipelines for the generation and transformation of heterogeneous data from multiple sources.
• Development of automated ML pipelines on AWS for training data preparation, model training and testing.

Southampton, United Kingdom

• Integrating knowledge-based and data-driven approaches for enhanced cybersecurity risk assessment analysis and situational awareness. Creating and deploying a RESTful microservice for inter-process communication.
• Designing and developing deep learning algorithms for automated multilingual information extraction for online cybercrime sites (DSTL… Show more
• Designing and developing deep learning algorithms for automated multilingual information extraction for online cybercrime sites (DSTL CYShadowWatch).
• Technical reviewing of data-driven solutions developed by start-ups across various sectors, such as Healthcare and Compliance (H2020 DataPitch).
• Ideation and preparation of H2020 proposals. Show less

Cyprus

• Developing new ideas and model solutions for European and Cypriot funding programmes (PRE-SEED ReSTART sGuide, Granted).
• Planning and implementation of proposal content for Horizon 2020 in interdisciplinary areas of research focusing on Emerging Educational Technologies in Personalised Learning.
• Preparing and modifying proposal text and budgets and development of timing plans of work streams.
• Providing expertise in data acquisition and analysis processes used in adaptive… Show more
• Providing expertise in data acquisition and analysis processes used in adaptive learning and learning analytics for delivering personalised learning capabilities (PRE-SEED sGuide). Show less

Athens

• Designing, implementing and testing data pipelines and storage architectures for financial products and services written in MySQL and C#, using asynchronous methods and object-relational mappings.
• Translating business propositions into quantitative queries and developing processes for data collection and cleansing.
• Co-developing scalable databases to maximize performance benefits for clients.

Cyprus

• Designing, training and testing machine learning models and data science tools to extract useful knowledge from accumulated data for Horizon2020 projects in manufacturing (Z-Factor, Stream-0d), energy (InDeal).
• Developing intelligent algorithms to automatically clean data collected from smart meters to deal with missing values… Show more
• Developing intelligent algorithms to automatically clean data collected from smart meters to deal with missing values using predictive analytics.
• Collecting and aggregating data from different heterogeneous sources and combining them into single datasets.
• Creating custom processes for transformation of raw data into a suitable format for machine learning algorithms.
• Designing, training and deploying time-series models for weather and energy demand forecasting using Tensor Flow Python and scikit-learn to predict energy usage of buildings in district heating and cooling systems and.

Estonia

• Designing and developing an order-matching engine utilising asynchronous methods to facilitate real-time trading with low latency, focusing on reliability and ensuring accurate order execution.
• Contributing to the development of data pipelines for a crypto exchange platform, focusing on establishing foundational ETL processes to support future trading activities.

Baltimore, Maryland Area

• Identifying and resolving software issues, using expertise in JavaScript, CSS, and.NET, employing systematic debugging strategies and collaboration with QA and development teams to ensure robust, error-free software.

Doctor Of Philosophy (Phd), Complex System Simulations, 1St

Thesis title: How evolution learns to evolve: Principles of induction in the evolution of adaptive potential. Supervisors: Dr Richard A..

Master Of Science (Msc), Artificial Intelligence, 1St

Modules included advanced machine learning; intelligent agents; independent research report in complex network theory; and evolution of.

Bachelor Of Science - Bs, Mathematics, 2:1

Specialization in computational mathematics. Modules included statistics; algorithmic design and analysis; operational research.