Team & User Success

Mentoring and Team Development
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• Personalized Team Interviews: Conducted individual interviews to assess team members’ familiarity with tools, preferred working styles, and personalities, enabling customized support.
• Skill Enhancement through Themed Meetings: Held regular meetings with targeted themes (e.g., communication, terminology) to improve the team’s organization and efficiency.
• Knowledge Sharing Facilitation: Ensured expertise was shared across the team, such as requiring the Vue expert to teach others, reducing dependency on single individuals.

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Process and Methodology Implementation

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• Communication Strategy and Tool Setup: Guided the team in defining communication types and selecting tools (e.g., Slack for short-term updates, Confluence for searchable documentation).
• Terminology and Naming Standards: Established consistent terminology and naming conventions across source code, GUIs, databases, and HR to enhance clarity and searchability.
• Project Management and Naming: Introduced a scalable project naming system (e.g., astronomical names) to avoid confusion and support growth.
• Agile Methodology Adoption (Scrum): Implemented Scrum incrementally, rotating the Scrum Master role to build team-wide proficiency.
• Handover Process Optimization: Developed documentation practices (using Confluence and Jira) to enable seamless project handovers, proven through team rotation exercises.

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Technical Guidance

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Technical Advisory and Tool Selection

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• GUI Framework Guidance: Recommended and adapted GUI frameworks (e.g., switching to Vue based on team expertise) to align with project needs.
• Database and API Management: Advised on database organization and API design, emphasizing documentation to prevent technical debt and ensure maintainability.
• Build Automation Setup: Defined processes and tools for efficient build automation.
• Test Automation and Data Strategy: Implemented test automation and guided the creation of purpose-specific test data sets (e.g., for edge cases, load testing) aligned with source code revisions.
• Internationalization Readiness: Ensured separation of human-readable texts and data formats from code to support future scalability.

These services transformed a team of skilled data scientists into an efficient, well-structured development unit, ready to tackle commercial software production with a solid foundation in processes and technology.
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Port Old Monoliths to Modern Platforms

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Assess Application and Requirements‍

Analyze the existing application's architecture, dependencies, and performance needs. Identify compatibility issues with the target environment (e.g., cloud-based SaaS) and define goals like scalability or cost efficiency.

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Plan Migration Strategy

Select a migration approach (e.g., rehost, refactor, rebuild) based on the app’s complexity and target environment. Outline timelines, resources, and potential risks.

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Prepare the Target Environment‍

Configure the new environment (e.g., cloud infrastructure, SaaS platform) to support the application’s stack, ensuring all necessary services and resources are in place.

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Refactor or Rebuild Codebase‍

Modify or rewrite code to meet the new environment’s requirements (e.g., containerization, micro services). Address outdated dependencies and optimize for platform-specific features.

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Migrate Data and Configurations‍

Transfer databases, files, and configurations to the new environment using appropriate tools or services, ensuring data integrity and minimal downtime.

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Test and Validate‍

Conduct functional, performance, and security testing in the new environment. Verify compatibility and resolve issues like broken dependencies or performance bottlenecks.

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Deploy and Monitor

Deploy the application to production using automated pipelines or manual processes. Monitor performance, logs, and errors to ensure stability post-migration.

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Optimize and Maintain

Fine-tune the application for cost, performance, and scalability. Implement ongoing maintenance, updates, and backups to ensure long-term reliability.

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