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.