Engineering Expertise

I build applications across the interface, API and data layers. My frontend work uses React and Next.js, with JavaScript and TypeScript, while backend delivery includes Node.js, Express, NestJS and Java with Spring Boot. The choice of framework follows the product requirements, existing systems and the team that will maintain the application.

My responsibilities include gathering requirements with clients, planning technical solutions and developing the application. I work on the connections between layers: what the interface needs from an API, how information is represented, which operations require permissions and how the product behaves when a request fails. That work benefits from understanding the full feature rather than treating the frontend and backend as unrelated tasks.

Inertia provides an example of my work on a market research and survey platform at Atomos Technologies. The case study covers my role, the stack and the areas I owned. Other portfolio projects show different kinds of work, including a company website and a creator platform. These examples let hiring teams assess the context of my contribution alongside a list of technologies.

• Inertia: platform engineering →
• Atomos Technologies: website delivery →

My backend work includes API design, application architecture, database integration and asynchronous processing. I use Node.js and Java ecosystems across projects, with experience in MongoDB, Redis and relational data workflows. I am interested in backend roles that involve both implementing services and making their behavior understandable to the rest of the team.

The Secure File Upload Service case study describes a NestJS service with JWT authentication, PostgreSQL metadata and BullMQ workers backed by Redis. It separates request handling from background processing. The Storage System project shows an API-first service organized using MVC, with Docker-based deployment. These projects give concrete examples of service boundaries and data flow rather than relying only on architectural terminology.

Cloud delivery is part of my full-stack responsibilities. I build and manage CI/CD pipelines, work with Docker and AWS, monitor deployments and production environments, and investigate application performance. The Certbot Service project is an example of automating an operational workflow around certificate issuance and renewal for Dockerized deployments. Its case study includes architecture diagrams and implementation context.

• Secure File Upload Service: queues and workers →
• Storage System: API structure →
• Certbot Service: deployment automation →

My responsibilities include designing and implementing AI-driven workflows and adding AI automation to client applications. Areas of work include AI-assisted lead capture and CV-scanning features for applicant tracking systems. I approach these as product features that need clear inputs, useful outputs and a place in the surrounding application workflow.

For a lead-capture feature, the useful outcome is information that a team can review and act on. For an ATS feature, the workflow needs to make the candidate information and review step understandable to the people using it. My focus is on integrating AI capabilities with application logic, permissions, storage and user-facing behavior, while keeping people involved in decisions that require their judgment.

The published portfolio provides detailed evidence for the application, backend and automation foundations listed above. In an interview, I can discuss the business requirements, integration approach and my contribution to AI-related application features.

• Discuss an AI integration or engineering role →

As a senior full-stack developer, my work extends from requirements and system design to delivery and maintenance. I lead client discussions, translate requirements into technical plans, review code and help engineers resolve implementation problems. I also work with cross-functional teams so technical decisions remain connected to what the application needs to do.

Performance optimization and production monitoring are part of that ownership. I investigate issues in the context of the application and its deployment, rather than treating release as the end of development. For recruiters, the About page gives the career timeline behind these responsibilities, while the Work page provides individual project contexts and links to the available evidence.

• Read my career history →
• Explore all six project case studies →