Yutong Chen

• Contribute remotely to full-stack products, AI workflows, Web3 tools and automation projects, collaborating asynchronously and breaking down and advancing work independently.
• Own or contribute to requirements analysis, solution design, frontend and backend development, database design, third-party API integration and deployment, connecting the stages from requirements to launch.
• Work on creator marketing, recruiting delivery and KeySafe, translating business requirements into executable workflows with explicit AI steps, human confirmation, exception paths and data flow.
• Apply my DevOps background to deployment, log investigation and operations, documenting delivery processes to support ongoing product iteration.

• Contributed to Kubernetes, GitOps, CMDB, operations automation, monitoring and logging platforms, connecting runtime environments, release processes and maintenance.
• Wrote Python and Shell automation, developed a unified alert management platform integrating cloud and Alertmanager alerts, and contributed to configuration templates, release standards and CI/CD pipelines.
• Supported frontline technical support as a second-line engineer, investigated incidents and produced SOPs, troubleshooting guides and incident reviews, turning recurring problems into tools and reusable procedures.

• Maintained Linux, virtualization, cloud platforms, middleware, CI/CD and monitoring systems, contributing to server deployment, log investigation and troubleshooting.
• Maintained Git, Jenkins and Ansible deployment tools and contributed to Prometheus monitoring to support application delivery and runtime visibility.
• Wrote monitoring and automation scripts for repetitive operations, building experience in infrastructure maintenance and automated delivery.

A personal AI workspace connecting goals, projects, tasks and materials, with a web interface and WeChat assistant for recording, organizing and advancing work.

My role: product design, full-stack development and agent integration

• Defined relationships between records, goals, projects, tasks, materials and actions, and designed a web workspace centered on project context and work arrangements.
• Independently designed and built the product, delivering the frontend, backend business services and MCP interfaces to connect materials and actions through shared business objects.
• Connected a personal agent and WeChat through MCP, defining responsibilities for user confirmation, prioritization and AI-assisted organization and execution.
• Implemented organization reports and material archiving, linking incoming records, project materials and follow-up actions to retain context for ongoing project work.

An AI collaboration design for recruiting delivery, connecting client requirements, candidate analysis, recommendation materials and feedback to address repeated explanations of search criteria and task handoffs.

My role: business workflow analysis and AI collaboration design

• Mapped client communication, search criteria, candidate sourcing, resume analysis, recommendations and feedback, defining responsibilities and handoffs for project leads and delivery consultants.
• Defined nine AI tasks: requirements research, interview preparation, meeting notes, client dossiers, search criteria, resume evaluation, recommendation materials, interview reports and retrospectives, with explicit inputs, outputs and human review.
• Designed shared project dossiers linking clients, roles, candidates, recommendation records and feedback, so evaluations and recommendations use consistent hiring requirements.
• Delivered workflow analysis, task definitions and a platform design connecting consultant submissions, AI-assisted analysis, lead review and client recommendations.

An AI workflow for creator marketing delivery that connects client confirmation, operational sourcing, candidate review and shortlist feedback around shared criteria.

My role: business research, requirements analysis and AI workflow design

• Studied creator marketing operations and mapped the complete process from client briefs and clarification to sourcing, content verification, shortlist delivery and feedback.
• Organized client requirements into a sourcing brief and defined handoffs for manager review, client confirmation and operational execution, aligning search and review with confirmed criteria.
• Mapped search directions, candidate verification and deduplication, designing operational submissions, agent-assisted review and retention of recommendation and feedback reasons.
• Linked clients, briefs, candidate creators, shortlist versions and feedback, delivering a workflow and collaboration demonstration that preserves the reasoning behind shortlist changes.