Hello, I'm Lefteris Charteros
I'm a Machine Learning Engineer
I love developing software and combining it with Machine and Deep Learning to create intelligent systems that practically run themselves — because who doesn't want a system that can do its own work? I'm always on a quest for new knowledge, eager to level up my skills and apply the latest best practices to exciting projects I'm working on.
About Me
My adventure in computer science began at university, where I quickly became captivated by the world of software engineering and machine learning. Since then, coding has become my go-to hobby, and I enjoy diving into all sorts of projects and tech stuff.
Machine Learning Engineer
Workable
I am currently working as a Machine Learning Engineer at Workable, where I am responsible for developing AI features such as the AI Screening Assistant and personalized email generation, aiming to help recruiters hire faster and better.
Oct 2023 - Present
Data Scientist
PwC Greece
I was a member of the Data & Analytics team, working on a variety of projects that ranged from building full-stack applications to developing predictive models, all aimed at enabling businesses and clients to make informed, data-driven decisions.
Oct 2021 - Sep 2023
Software Engineer
Greek Army
I completed my military obligations at the Computer Science department, where I worked on developing the lethrodou.gr web app for the Rhodes Officers Club.
Nov 2020 - Aug 2021
MSc in Computer Science
Athens University of Economics and Business
Graduated with GPA 9.77/10 and specialization in Artificial Intelligence/Machine Learning and Information Systems
2019 - 2020
BSc in Computer Science
Athens University of Economics and Business
Graduated with GPA 8.88/10 and specialization in Artificial Intelligence/Machine Learning, Databases and Knowledge Management and Information Systems and Information Security
2015 - 2019
Skills
Throughout my career and studies, I've had the opportunity to work with a variety of tools and technologies. My main focus is on Python, PyTorch and anything related to machine learning and backend development. Although not my specialty, I also write Vue and Nuxt, when developing full-stack applications. Nevertheless, I'm always eager to learn new things and expand my skill set, so I'm constantly experimenting with different technologies and frameworks.
Python
PyTorch
Django
FastAPI
Docker
PostgreSQL
Azure
Git
HTML
CSS
JavaScript
Nuxt.js
Portfolio
Here you can find some of the projects I've worked on. You can always find out more about my work and interests by visiting my GitHub
Sentiment Analysis App
A sentiment analysis model trained on the Twitter Sentiment140 dataset using PyTorch Lightning.
Research in Federated Learning
A novel approach to improve the global model convergence speed as well as to create personalized local models for each device in Federated Learning.
Natural Language Processing
Multiple text classification projects with different NLP techniques.