Oleg Klishin is a Full Stack and Senior Python Developer with IT experience since 2009 and commercial development experience since 2019. He specializes in backend and API development using FastAPI and Django, and works with PostgreSQL, Redis, MySQL, REST, and WebSocket. He also integrates Celery for background processing tasks. Oleg has experience in creating Telegram bots, mini-applications, and WebApps, including game mechanics, as well as working with AI technologies such as ChatGPT, DeepSeek, and Google Cloud AI for text processing, translation, and generation.

He is familiar with frontend development using React, TypeScript, and React Native, and has experience in creating admin panels, data scraping with Selenium, processing geospatial data with PostGIS, and automating processes. Oleg is proficient in DevOps tools including Docker, Nginx, GitHub Actions, GitLab CI, and Grafana. He has experience with the TON blockchain, NFTs, Jettons, and TonConnect. Oleg is capable of quickly analyzing others' code and implementing tasks from architecture to deployment, covering backend, API, databases, and integrations.

Reviews

Oleg Klishin is an efficient and high-quality performer who completes tasks quickly, accurately, and on time. Reviews highlight his professionalism, clear understanding of requirements, willingness to assist with additional questions, and his policy of not requesting upfront payments. No negative feedback has been reported.

Portfolio projects

Skills and Technologies: Python, Django, PostgreSQL, FastAPI, React, TypeScript, REST API, PostGIS, Docker, GitHub Actions, WebSocket, AI, NLP.

Projects and Achievements: Oleg has developed several complex web applications, including aggregators for beauty services and real estate, as well as multiplayer games on Telegram. In the Base Beauty project, he created an aggregator with a catalog of professionals and a review system, utilizing Django and PostgreSQL with geolocation features. The Admin Maplz project featured an admin panel built with React, enabling the management of thousands of listings. In the game Otherworlds, he designed an architecture with real-time interaction and integration with the TON blockchain. The Lazy Reader project became a powerful tool for language learning, employing AI for text analysis and translation.

Achievements and Recognition: Oleg successfully launched several projects, including interactive platforms for real estate search and language learning, significantly simplifying the process for users in selecting properties and studying. His work on these projects resulted in high performance and scalability, as well as process automation, which reduced data processing time and enhanced the usability of the services.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

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