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Schedule Interview NowMy name is Artur T. and I have over 2 years years of experience in the tech industry. I specialize in the following technologies: Python, Automation, Bot Development, AI Code Generator, Full-Stack Development, etc.. Some of the notable projects I’ve worked on include: Sports Betting Site Scraping, Voice AI Telephony System, RAG Chatbot. I am based in Odesa, Ukraine. I've successfully completed 3 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
Main technologies
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Focused on developing a web scraper to collect real-time data from various sports betting websites. The system extracted key information, such as odds, match outcomes, player statistics, and betting trends, to feed into an analysis engine for predicting outcomes and identifying profitable betting opportunities.
Aimed to build an intelligent voice-driven platform for handling customer interactions over the phone. Using advanced speech recognition and natural language processing technologies, the system can understand, process, and respond to customer queries in real time, automating routine tasks like appointment scheduling, inquiries, and support requests.
AI-driven conversational agent to provide users with precise and context-aware responses by integrating retrieval-based and generative models. The chatbot pulls relevant information from a large-scale knowledge base, such as company documents, customer support logs, or external APIs, to answer user queries in real-time.