Roman resume

Roman is a full-stack developer with experience in web development, mobile applications, and AI solutions. He assists businesses in automating processes, launching digital products, and integrating artificial intelligence. His portfolio includes over 20 completed projects, such as online stores, CRM systems, AI agents, and mobile applications. Roman's work covers all stages, from creating technical specifications to supporting the final solution.

Reviews

Based on the provided messages, the following brief review of Roman can be made:

Roman actively responds to proposals, but his replies often consist of requests for technical specifications and contact information to provide options. He promises quick and quality work, but specific timelines and service costs are not always clarified. In some cases, Roman suggests sending options via email, which can complicate communication and project oversight. The lack of detailed descriptions of his experience and portfolio in his responses may raise doubts about his professionalism.

Portfolio projects

Skills and Technologies: Python, FastAPI, React, Docker, Kubernetes, PostgreSQL, Redis, AI and machine learning, NLP, microservices, WebSocket, MQTT, TensorRT, YOLOv8, WebRTC, Flutter, Kotlin, Jetpack Compose, CI/CD, OpenAPI, Anthropic Claude API, GPT-4.

Projects and Achievements: The candidate has developed multifunctional AI systems, including a multi-agent RAG system for corporate search, a sales AI agent, and an AI chatbot for support. He has created mobile and web applications, such as a messenger and task manager, as well as platforms for video conferencing and logistics management. His projects utilize advanced technologies like YOLOv8 for computer vision and WebRTC for video communication. The candidate has also implemented complex systems, such as an IT services marketplace and a CRM system with analytics.

Achievements and Recognition: The candidate has achieved significant improvements in efficiency and performance, including increasing conversion rates from 3% to 24.5% in an AI sales system, reducing inventory time from 8 hours to 15 minutes in a warehouse, and improving response accuracy to 96.2% in the RAG system. His projects have resulted in time and resource savings, such as reducing support costs by ₽2.1M per month and saving on manual oversight through a computer vision system.

* 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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