Programming and IT
Rating: 87
  • Work experience: 4 years
  • Type of employment: Full-time freelancing
  • Legal status: Individual
Russia Russia
Cost of services: 1 200 RUB per hour
Team experience: Team lead / Manager
Language skills: Russian, English
Available / contact time: 07:00 - 23:00 (GMT+3)
Last activity: 12.07.2026 09:59

Dmitry Golosov Resume*

Dmitry Golosov graduated from the FSO Academy of Russia with a degree in "Infocommunication Technologies and Special Communication Systems" and has over three years of experience in the market. He founded the team "ProFicientPython," which specializes in developing Telegram bots, parsers, and automation software, as well as data analytics. Dmitry assists businesses in addressing specific challenges, such as increasing profits, optimizing processes, and attracting target audiences.

Reviews

The freelancer delivers work efficiently, quickly, and accurately according to the specifications. They have experience in developing Telegram bots with parsers and payment systems. They work without unnecessary questions and demonstrate responsibility. No negative feedback has been reported.

Portfolio projects

Skills and Technologies: Development of Telegram bots, process automation, data parsing, API integration, working with texts through AI, and setting up filters and notifications.

Projects and Achievements: The candidate has developed a series of Telegram bots, including a bot for tracking sports events that sends alerts when specific conditions are met, and a bot for conducting contests with automatic result distribution. Additionally, a bot for an author channel was created, featuring navigation and payment functions, as well as a bot for managing a Telegram channel that parses news and processes it through ChatGPT. Other projects include a food delivery bot that simplifies interactions between establishments and couriers, and a platform for job searching in the maritime industry with convenient filters. A keyword-based parsing bot allows for flexible customization of sources and search parameters.

Achievements and Recognition: Although specific quantitative results are not provided, the projects demonstrate the candidate's ability to create effective solutions for automating and optimizing various processes, which is supported by active links to completed projects.

* 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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