About me

I am a software engineer at MoveCars.com with a passion for building reliable products that blend AI, backend systems, and clean user experiences. I graduated from Arizona State University in May 2025 with a Bachelor of Science in Computer Science, earning a perfect 4.0 GPA and graduating cum laude.

My journey into the world of programming began at the age of 7, thanks to my grandfather, a computer science professor, who ignited my passion for coding. This early start led me to attend one of the best STEM high schools in Russia, where I graduated at the top of my class, nurturing my love for math and physics.

By the time I was thirteen, I had begun exploring the field of machine learning, creating my own projects. Throughout high school and college, I competed in numerous hackathons to showcase my skills and have held leadership positions in software engineering clubs at my school. Over the years, I've built numerous projects and conducted scientific research in machine learning, from developing web applications using Flask to crafting AI models with TensorFlow.

Today I'm focused on delivering high-impact software, mentoring teammates, and finding new ways to use AI responsibly in production systems.

My skills

  • Web Development

    Building responsive and user-friendly websites using HTML, CSS, and JavaScript.

  • Machine Learning

    Developing and deploying AI models with TensorFlow and PyTorch for data-driven solutions.

  • Backend Development

    Creating robust server-side applications with Flask and fastAPI, ensuring efficient data handling and integration.

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    Cloud Infrastructure

    Managing and deploying applications using Docker, Nginx, and cloud services for scalable and secure environments.

Resume

Education

  1. Arizona State University

    2022 — 2025

    Graduated in May 2025 with a Bachelor of Science in Computer Science, earning a 4.0 GPA and graduating cum laude. Key coursework included Data Structures & Algorithms, Operating Systems, and Machine Learning.

Experience

  1. MoveCars.com - Software Engineer

    Jan 2025 — Present
    • Remodelled the customer-facing marketplace with React and TypeScript to improve usability and performance.
    • Built and maintained a Ruby on Rails backend, designing database models and a GraphQL API for internal tools.
    • Developed an AI agent that generates web scraper code, boosting team productivity by 50%, and managed CI/CD using GitHub Actions for automated tests, accessibility checks, and AWS deployments.

  2. iDayDream Studios - Fullstack developer intern

    May 2024 — Aug 2024
    • Built an AI algorithm that generated custom websites for content creators by scraping their social media data with Python and NLP techniques.
    • Automated social media content creation that transformed podcast episodes into TikTok clips with AI-generated avatars, boosting engagement by 20%.

  3. Gazprom - Data Science intern

    Jun 2021 — Aug 2021
    • Collaborated with a team of developers to analyze underground rock samples and predict oil reserve probabilities with high accuracy, utilizing Siamese networks and statistics.
    • Independently created and deployed a robust machine learning model using Python, TensorFlow, Keras, Pandas, and NumPy, achieving 75% accuracy and now actively used by Gazprom for predictive analysis in new oil field exploration.

Extra Curriculars

  1. Augmented Reality Club - Co-Founder

    Aug 2023 — May 2025
    • Hosted a hackathon for students to build TikTok filters with EffectHouse.
    • Led efforts to integrate augmented reality into the Arizona State University campus map.

  2. SoDA (Software Developers Association) - Technical Director

    Jan 2022 — Dec 2023
    • Led the technical officer team in the university’s largest software developers club, increasing membership by 50% through targeted programs.
    • Designed projects, workshops, hackathons, and tech talks that fostered collaboration and ongoing learning.
    • Managed club cloud infrastructure, including VPS provisioning and deployment tooling for member projects.

Certifications

  1. Microsoft Certified: Azure Fundamental

    2023

Awards & Achievements

  1. Hacker Devils Codeathon - 1st place

    Apr 2024

  2. Software Developers Association Coding Competition - 1st place

    Mar 2024

  3. WiCS Coding Competition - 2nd place

    Mar 2024

  4. Silicon Valley Bank Hackathon - 2nd place

    Apr 2022

  5. International Sakharov Readings conference - 2nd place

    Mar 2020

  6. Samsung IT school competition - 3rd place

    Jul 2019

My skills

  • Python Development
    2 years
  • Web Development
    2 years
  • Data Science
    2 years
  • Machine Learning
    3 years

Projects

Contact

Contact Form

Project name

Available at: https://rubilia.dev

Github: https://github.com/Rubilia/personal-website

I made this website to showcase my web development skills. The frontend is made using HTML, CSS, and JavaScript / Jquery, while the backend is powered by Python Flask. The entire website is run using Docker containers, which handle SSL certificate issuing and renewal using Certbot, and has Nginx built-in for traffic handling.

The website is fully responsive, ensuring a seamless user experience across different devices and screen sizes.

Various performance optimization techniques have been applied, including lazy loading images and minifying CSS/JS files, to ensure fast load times and a smooth user experience.

Google Analytics is integrated to track user interactions and gather insights for further improvements.

Startup Success Prediction Model

At the Silicon Valley Bank Hackathon, I led a team of five members to secure 2nd place with an innovative project. I focused on the backend, developing a natural language processing (NLP) model using TensorFlow in Python, designed to forecast the success of startups in the finance sector, achieving a 75% accuracy rate.

The model leveraged data from multiple sources to make accurate predictions. I utilized the Twitter API to gather real-time tweets about various startups, capturing public sentiment and trending discussions. Additionally, I incorporated Google search results, Google Trends data, and internet mentions to enrich our dataset, providing a comprehensive view of each startup’s online presence and public perception.

The core of our model was based on transformer architecture, the same technology that powers ChatGPT, which enabled us to effectively process and analyze large volumes of text data. This sophisticated approach allowed us to identify patterns and insights indicative of a startup’s potential success.

This experience challenged me to integrate diverse data sources and apply machine learning to real-world problems.

Unfortunately, SVB did go bankrupt shortly after granting my team a $10,000 check…

C2PRL stands for Centralized 2 Part Reinforcement Learning. It is a research project I've been working on. When I was studying AI, reinforcement learning caught my interest and I started implementing different algorithms from that field myself. But I always wanted to create something unique. I began reading research papers and got inspired by DeepMind's research on hierarchical AI. This led me to develop my own hierarchical AI.

After months of contemplation, I finally came up with the idea: an agent composed of two neural networks. The first is the Brain, which generates a game state for the agent to reach within a specified time, focusing on long-term success. The second is the Executor, which attempts to reach the state generated by the Brain within the given time. The Executor learns the short-term mechanics of the game environments. Together, they produce sophisticated strategies quicker than a single neural network and with less training data.

I tested my algorithm on Atari games, a standard benchmark at the time, and it outperformed humans and DeepMind's early algorithm, DQN. Following this success, my mentor helped me prepare for a science conference where I presented my work and achieved 2nd place.