1. Design, build, and maintain production-quality full-stack applications, microservices, and engineering pipelines using Python and React.
2. Develop front-end user interfaces and backend systems, ensuring seamless API integration and effective data abstraction layers across tools.
3. Architect database schemas, manage relational databases (PostgreSQL, MySQL), write complex queries, and optimize joins and performance.
4. Build data analytics pipelines and interactive visualization dashboards using pandas, scikit-learn, matplotlib, and plotly to deliver actionable engineering insights.
5. Deploy automated workflow orchestration tools to integrate simulation models, minimize manual execution, and streamline design flows.
6. Leverage modern AI development tools and coding harnesses (e.g., Claude Code, Codex) to accelerate feature development and code generation.
7. Drive end-to-end SDLC ownership, maintaining clean code standards, unit test coverage, CI/CD pipelines, and detailed architectural documentation.