Kostas Vasilopoulos
AI & Machine Learning Engineer
I specialize in developing and deploying machine learning solutions, with expertise in deep learning and natural language processing.
About Me
I am a Machine Learning Engineer with a passion for developing innovative AI solutions that solve real-world problems. My journey in the field of artificial intelligence began during my academic years, where I developed a strong foundation in mathematics, statistics, and computer science.
Throughout my career, I have worked on diverse projects ranging from computer vision applications to natural language processing systems. I specialize in designing and implementing scalable machine learning pipelines, optimizing model performance, and deploying AI solutions in production environments.
Expertise
- Large Language Models & Generative AI
- Machine Learning Operations (MLOps)
- Natural Language Processing
- Distributed Systems & Cloud Computing
- Data Analysis & Statistical Modeling
- Ethical AI & Responsible AI Practices
Education
Ph.D. in Economics
Lancaster University • 2016-2020
M.Sc. in Economics, Applied Finance
University of Macedonia • 2014-2016
B.Sc. in Economics
University of Macedonia • 2009-2014
Skills & Expertise
Here's an overview of my technical skills and proficiency levels.
Programming Languages
Machine Learning & AI
Tools & Technologies
Professional Experience
Pfizer
Machine Learning Engineer, Manager
- Managed the integration of Large Language Models (LLMs) into the platform, resolving technical obstacles and boosting platform capabilities
- Implemented MLOps best practices to enhance the efficiency, scalability, and performance of AI solutions within the platform
- Technical Lead for Ethicara ML: Led the development and implementation of ethical AI solutions for Pfizer, ensuring compliance with industry standards and guiding responsible AI practices
- Engaged with users and stakeholders to align platform enhancements with business goals, while fostering cross-team collaboration
SophoTree
Machine Learning Engineer
- Tech Lead for company-specific contributions to the Infinitech and AI4PP European Projects (Horizon 2020)
- Led the design and implementation of a distributed data collection system in Kubernetes, enabling horizontal scaling to support millions of jobs daily
- Deployed multiple ML models to production, integrating them into the platform with autoscaling, microbatching, and runtime optimizations, resulting in a 320% increase in throughput and a 40% cost reduction
- Delivered API microservices with integrated Postgres, Elasticsearch, and analytics capabilities, enhancing the platform's data processing and retrieval
Data Scientist
- Led data analysis and machine learning initiatives
- Developed and implemented data-driven solutions
Lancaster University
Visiting Researcher
- Developed scalable and efficient methods for data analysis and model development, enhancing data cleansing, manipulation, and processing within existing software applications and frameworks
- Achieved recognition for the Housing Observatory, featured in prominent economics journals like The Times, with findings actively utilized by practitioners and institutions such as Central Banks
Teaching Associate
- Teaching and mentoring students in economics and data analysis
Research Assistant
- Analyzing and modelling UK national and regional housing markets
- Developing interactive tools for real-time monitoring of real estate markets
- Maintaining the website to ensure optimal performance and user experience
Teaching Assistant
- Teaching Economics to classes of 15-60 students in weekly discussion sessions for six semesters
- Courses Tutored:
- - Econ222: Intermediate Macroeconomics I
- - Econ 102: Principles of Economics B
Contact
I'm always open to discussing new projects, opportunities, or collaborations. Feel free to reach out through any of the following channels:
Let's Connect
Whether you want to discuss a project, ask about my experience, or just say hello, I'd love to hear from you.
Academic Work
Looking for my academic research and publications? Visit my academic website
(archived site, no longer maintained)