@rossz - Backend / Full-Stack Engineer | AI/ML | Node.js | Python | PostgreSQL | MongoDB | AWS | Distributed Systems

AI-native engineer

Available for hire

Years of experience

13+ years

Experience level

Senior

Available from

27 Jul 2026

I’m a Full-Stack / Backend Engineer with 12+ years of experience building production-grade web applications, with a strong focus on backend systems, distributed architectures, and scalable APIs. I specialize in delivering reliable, long-term production systems, not just working demos.

Throughout my career, spanning fast-paced startups to structured corporate environments, I have consistently driven features from concept to release with complete ownership. I thrive in environments with mature engineering processes, working closely with cross-functional teams within Agile/Scrum frameworks, establishing strict testing patterns, and conducting rigorous code reviews to ensure maintainability.

I leverage modern AI tooling to accelerate development velocity, but critical engineering decisions remain human-driven.

🔹 My workflow focuses on: Designing clean, scalable architecture before writing code | Setting up reliable processes (CI/CD, comprehensive testing, strict code review standards) | Reviewing AI-assisted code for correctness, security, and performance bottlenecks | Challenging generated solutions instead of blindly accepting them | Ensuring systems are maintainable, predictable, and production-ready.

🔹 Key areas of expertise: Backend systems & architecture (Python, Node.js) | API design & complex third-party integrations (Payments, SaaS) | Scalable data processing pipelines (Celery, RabbitMQ) | Database architecture & query optimization (PostgreSQL, MySQL) | Frontend development (React, TypeScript).

🔹 Selected engineering highlights: Built and delivered 40+ production-grade web projects | Led the migration of monolithic Django systems into modular, service-based architectures | Designed and optimized data pipelines handling high-volume event processing | Built secure payment layers, multi-tier caching (Redis), and AI-powered production workflows (RAG, LangChain).

⚙️ Tech stack: Python, Django, FastAPI, Node.js, TypeScript, React, PostgreSQL, MySQL, Redis, RabbitMQ, Celery, REST APIs, AWS, Docker, Git, CI/CD pipelines.

Employment History

AI Integration Engineer | Python Developer at individual Current 2024 - Now

• Backend development for long-term commercial projects with production systems used in real business environments. Focus on stable delivery, scalability, and continuous integration into existing infrastructures over extended contracts • Developed a secure RESTful Payment Processing API using FastAPI and async SQLAlchemy, implementing Pydantic validation, JWT authentication, rate limiting and PCI DSS-compliant security measures, which enabled safe handling of financial transactions with high reliability and performance. • Built an AI document processing service that ingests PDFs and architectural schematics and extracts metadata using a multi-stage pipeline combining OCR, preprocessing, and LLM-based interpretation; designed a workflow that converts raw docs into clean text and visual segments, then applies classification and extraction steps to produce structured JSON output, handling inconsistent layouts, low-quality scans, and mixed content with fallback and validation logic.

Python Backend Developer at Compass Mining 2020 - 2024

• Implemented payment integration layer with external providers by introducing a unified abstraction for handling multiple payment gateways, including secure request signing, webhook verification, and consistent transaction state management; ensured idempotent payment processing, reliable reconciliation between provider callbacks and internal order states, and robust error handling for network and provider-side failures, improving payment flow reliability and reducing failed or duplicated transactions • I designed a state-driven order processing architecture by replacing synchronous webhook execution with an event-based workflow. It uses persistent lifecycle statuses in PostgreSQL and asynchronous Celery workers on AWS. Payment, inventory, notifications, and CRM integrations now run as background jobs, with retryable, idempotent execution and failure recovery, greatly enhancing system reliability and resilience to traffic spikes and third-party API failures.

Education

Bachelor of Computer Sciend at State University of Information and Communication Technologies 2022 - 2026

Backend / Full-Stack Engineer | AI/ML | Node.js | Python | PostgreSQL | MongoDB | AWS | Distributed Systems

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