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Hi. I'm Andrii Volkovskyi
I'm physicist (specializing in solar cells and semiconductor nanofabrication)
and Junior AI Engineer (specializing).
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I'm physicist (specializing in solar cells and semiconductor nanofabrication)
and Junior AI Engineer (specializing).

at Taras Shevchenko National University of Kyiv (it's in top 10 universities in Ukraine)

at Ecole Polytechnique, France (it's in top 50 universities in the world)

at Harvard Online, CS50

It was summer work during Work and Travel program in USA for students

It was internship in Laser-Plasma Acceleration project

It was internship in perovskite sollar cells project

It was PhD program connected to semiconductor nanofabrication (Photonic Crystal Cavities and TMD Materials) and optical characterization. I also had Doctoral Fellowship from Marie Skłodowska-Curie Actions

When I returned to Ukraine after my postgraduate studies, while I was looking for a job, I decided to work as a tutor in physics and mathematics. However, then a full-scale war began, and I could no longer go abroad for work. In Ukraine, there are no jobs in my field because we don’t have factories for semiconductor chip production. So, I continued working as a tutor and simultaneously studied programming.

During the CS50AI course, I had to write an AI model that can predict the missing word in the sentence using attention mechanism and transformers library.

Another project I completed during the CS50AI course involved writing a convolutional neural network that can recognize and distinguish road signs.

I made a convolutional neural network which can take images of people and predict their gender. It was trained on a public set of images of different celebrities.

I took engine of Doom written in Python and modified it into my own mod, which I named "Doom - Kursk People’s Republic". There is also a Machine Learning part in the code, where bots use breadth-first search to find the player on the map. The game was made as a joke just for fun.

The goal of this project is to create a license plate detector. I took a pre-trained YOLOv8 model, and fine-tuned it on a public dataset of car images. The final output is a model that can be used to identify license plates and it was tested on real-time video streams.

The goal of this project is to create the detector which can classify text written by AI and by Human. I took a pre-trained RoBERTa model, and fine-tuned it on a public dataset of different texts written by human and AI. The final output is a model that can be used to identify generated text but it has not very good accuracy.

A simple Python application that uses a graphical interface (Tkinter) to detect or blur faces in images, videos, or live webcam feeds with OpenCV and MediaPipe.

The multi-agent AI assistant which can propose the recipe of the meal and plan a shopping list for that meal. It uses LangGraph, include logging via LangSmith, leverage LLMs through LangChain, and provide a simple UI using Streamlit and speech recognition using Whisper. It also has API integration with SerpAPI to get real prices from Walmart.

I also have a hobby. That's my youtube channel about food and cooking in Ukrainian language.
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