WHO AM I?
//Coder //Software Engineer
//Artificial Intelligence Enthusiast
I am passionate about data science and its endless possibilities. I enjoy learning new skills and techniques every day to enhance my data analysis capabilities. I believe in lifelong learning and I am always eager to expand my academic and professional horizons. I am an active member of several data science communities, where I share my work and insights with other data enthusiasts.
My academic background is a B.Sc. in Computer Engineering from the Department of Informatics and Telecommunications at the University of Ioannina, which I completed in 2020. Since then, I have been working as a Software Engineer, aiming to create robust and intelligent systems with high-quality code. I have developed a strong interest in artificial intelligence and Cyber-Physical systems through my engineering experience.
I recently enhanced my academic background with a master's degree in information technology, specializing in data science and artificial intelligence, from the University of Grenoble in France. I am now more eager then ever to apply my data science skills and create cutting-edge AI models to tackle various problems. Some of the skills I acquired include machine learning, problem solving, and creative thinking.
{ About My Expertise }
This is a quick overview of my main technical skills and tools I use.
{ Areas of Interest }
Here is a compact list on the stuff I love working on.
Machine Learning
One of my professional interests is to keep abreast of the current developments in Artificial Intelligence, especially in the areas of problem solving and deep learning.
Reinforcement Learning
In my latest research, I explored how to use reinforcement learning on the edge by finding the optimal trade-off between exploration and exploitation.
Data Visualization
Using data visualization techniques, the challenge is to reveal the narrative that lies within the data sources.
Information Retrieval
Queries and statements! The gears of constructing information systems based on collecting information in documents.
Knowledge Representation
One of my passions is to explore different methods of encoding and storing data in digital forms that enable complex problem-solving.
Robotics
I also love to create and program robotic devices that allow me to apply my skills in engineering and data science.
{ Featured Projects }
Take a look at some of my best projects so far.
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India Air Quality Analysis
October 2023
This project performs exploratory data analysis on India's Air Quality dataset to understand patterns and trends. It is also using random forests, LSTM, and CNN architectures to forecast future quality levels. This project has the potential to make a significant contribution to the understanding and management of air pollution in India.
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Federated RL in the DBMS
October 2022
FeReD is a system that contrasts the performance of cross-device federation using Q-learning. It offers step-by-step guidance for in-DBMS SQLite implementation challenges for both horizontal and vertical data partitioning. FeReD also allows to contrast the Q-learning implementations in SQLite vs a standard Python implementation.
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Reinforcement Learning in Acumen
June 2021
This Acumen example demonstrates how utilizing machine learning can be used to enhance Cyber-physical systems to achieve intelligent behavior. Creating autonomous agents and utilizing a state-action-reward-state approach, they are capable of learning how to optimize their behavior and react to an unknown environment.