An enterprise-grade platform for real-time system monitoring, data analytics, and
intelligent scenario management. Development was built around AI-augmented
engineering practices using LLM agents and Claude Code as primary productivity tools.
- Architected and developed scalable real-time monitoring dashboards with configurable
alert thresholds and automation scenarios;
- Built rich user-facing configuration tools for scenario management, notification rules,
and data visualization;
- Pioneered the team's adoption of Claude Code as primary development environment,
significantly accelerating feature delivery;
- Designed and deployed custom AI agents to automate repetitive development tasks,
code review, and test generation;
- Implemented MCP (Model Context Protocol) integrations to extend agent tooling
capabilities across the project;
- Introduced AI-assisted development standards adopted across the engineering team.
A telemedicine platform facilitating online medical consultations for patients and
healthcare providers at scale.
- Designed and implemented a micro-frontend architecture to ensure independent
scalability of patient- and provider-facing modules;
- Delivered critical UI performance optimizations, reducing load times and improving
overall user experience;
- Built and enhanced core component library used across the entire platform;
- Drove resolution of complex technical issues in high-priority production scenarios.
An enterprise-grade platform for real-time system monitoring, data analytics, and
intelligent scenario management. Development was built around AI-augmented
engineering practices using LLM agents and Claude Code as primary productivity tools.
- Architected and developed scalable real-time monitoring dashboards with configurable
alert thresholds and automation scenarios;
- Built rich user-facing configuration tools for scenario management, notification rules,
and data visualization;
- Pioneered the team's adoption of Claude Code as primary development environment,
significantly accelerating feature delivery;
- Designed and deployed custom AI agents to automate repetitive development tasks,
code review, and test generation;
- Implemented MCP (Model Context Protocol) integrations to extend agent tooling
capabilities across the project;
- Introduced AI-assisted development standards adopted across the engineering team.
A telemedicine platform facilitating online medical consultations for patients and
healthcare providers at scale.
- Designed and implemented a micro-frontend architecture to ensure independent
scalability of patient- and provider-facing modules;
- Delivered critical UI performance optimizations, reducing load times and improving
overall user experience;
- Built and enhanced core component library used across the entire platform;
- Drove resolution of complex technical issues in high-priority production scenarios.