Kostas Vasilopoulos
AI & Machine Learning Engineer
Professional Summary
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.
Professional Experience
Pfizer
Machine Learning Engineer, Manager
May 2023 - Present- •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
Key Technologies:
Python • Machine Learning • LLMs • MLOps • Kubernetes • Cloud Computing
SophoTree
Machine Learning Engineer
January 2022 - May 2023- •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
Key Technologies:
Python • Kubernetes • PostgreSQL • Elasticsearch • Machine Learning • Microservices
Data Scientist
June 2021 - January 2022- •Led data analysis and machine learning initiatives
- •Developed and implemented data-driven solutions
Key Technologies:
Python • Data Analysis • Machine Learning • Statistics
Lancaster University
Visiting Researcher
July 2021 - July 2022- •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
Key Technologies:
Data Analysis • Statistical Modeling • Research • Economics
Teaching Associate
November 2020 - August 2021- •Teaching and mentoring students in economics and data analysis
Key Technologies:
Teaching • Economics • Data Analysis
Research Assistant
May 2019 - October 2020- •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
Key Technologies:
Data Analysis • Statistical Modeling • Web Development • Economics
Teaching Assistant
October 2016 - September 2020- •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
Key Technologies:
Teaching • Economics • Education
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