5+ years of Python QA automation engineering experience. Studying and applying AI, ML/Data Science.
Creating AI-based services.
Speaker at Heisenbug 2024, Russia's largest testing conference, with the topic "Interaction of manual and automated testing in a project".
Took 3rd place with a team in a hackathon by MOEX Moscow Exchange. My part - a microservice for scoring stocks with high growth potential (time series prediction).
Want, can, do.
| src | description |
|---|---|
| Site Blocker | A browser extension that manages website access to improve focus, productivity, and relaxation. |
| Swagger testgen | Test cases generator, using AI, for API testing on swagger. |
| Gmail Extension | Mail Checker & Notifier: get real-time Gmail notifications, alerts, unread count, access & email management. |
| Google Calendar Extension | Google calendar extension: Manage events, calendar reminders & sync calendars. Join video meetings in a shared calendar app. |
| Chrome Cache Cleaner | Chrome extension Cache Cleaner - cache, history, cookies cleaner for Chrome-based browsers. |
| Free AI Telegram bot | Telegram bot free AI with image generation. Stack: python, aiogram, asyncio, mongo, docker, APIs, bash. |
| AlgoPack_time_series | 3rd🏅 place in the Go.Algo hackathon from MOEX. Stock price time series predictions. Stack: LAMA. |
| Default_prediction | Predicting transaction outcomes, classification task. Stack: Logistic Regression, SVM, Random Forest Classifier, Catboost. |
| Organization | Certificate |
|---|---|
| MOEX Go.Algo |  |
| Karpov.Courses |  |
