Anton Balykov@anton_balykov314

Events attended

Submissions made

Ukraine

1 year of experience

About me

I am a 4th year undergraduate student at Faculty of Computer Science and Cybernetics of Taras Shevchenko National University of Kyiv. I am a Software Engineer, passionate about AI, keen on programming in Python, GoLang, Java, C++programming languages. Got a chance to try out several frameworks, namely Spring for Java, Ruby on Rails for Ruby. Also familiar with SQL, MatLab, Maple, Git, UnrealEngine. Looking forward to learning more about AI and Machine Learning.

I built with

Cohere Coral

Socials

🤝 Top Collaborators

Iqra Akhtar

Nazarii Savorona

A highly accomplished, skilled and knowledgeable computer science student with extensive knowledge of programming and computer applications. Looking for an opportunity in the field of information technology as computer programmer in a renowned organization.

Ruslan Volchetskyi

Software Engineer, 4th year student at Faculty of Computer Science and Cybernetics of Taras Shevchenko National University of Kyiv with a great set of skills like Python, Java, Go, C++, knowledge of SQL, Git, UnrealEngine and vast potential for software development and computer science. I'm really fond of AI, game development and problem solving as well as collaborative work and team communication. As an astute student, I'm looking for different opportunities in various fields of IT.

🤓 Latest Submissions

Pampushka Chatbot

This bot is capable of automation of interview stages in which respondent is to answer questions with firm correct and wrong responses. Bot will communicate with interview respondents via web-application. This application will be like chatbots used on sites to help students and other scholars write academic papers. Bot sends question to the candidate and a person input answer in the provided field. Afterwards, model estimates the quality of provided answer and bot informs respondent about it. Our model utilizes https://api.cohere.ai/classify endpoint. The set of questions available to choose from is in the database and predefined (for this version of project). The training sets of answers are also in the database with links to their respective questions. There must be at least some number (to be estimated) of answers per quality per question for the model to be well-trained.

Hackathon link

3 Feb 2023

👌 Attended Hackathons

AutoGPT Arena Hacks

🤖 You have 4 weeks to build. Join in at any point! 🌐 Connect with a global tech community. 🎉 Win from a $30,000 cash prize pool. 💾 The winning agent will become the AutoGPT in the 150000 star repository! 🚀 You may continue your startup journey after the Hackathon! 🖥️ Utilize Weaviate as the vector database for your agent with open access.

Cohere Hackathon

🗓️ This 7-day virtual hackathon from January 27 to February 3 will be your time to shine! 💻 Construct AI apps with the latest LLM-powered technology from Cohere and try the newly released Multilingual Text Understanding model ✔️ There's no prerequisite level. Just starting out with AI? Or perhaps you're a veteran Data Scientist? A Designer? A Business Developer? We want you and your domain expertise! 🐱‍💻 Sign up now for free and let's get going!

📝 Certificates

Cohere Hackathon | Certificate

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