Sr Project Manager
- $25k+
- Earned
- 1x
- Hired
- 5.0
- Rating
- 41
- Followers
Sr Project Manager
Business Systems Architect | Roadmap & GSheets & Automation
- 5.0
- Rating
- 4
- Followers
Business Systems Architect | Roadmap & GSheets & Automation
The client’s goal was to enter a new international market with a defined value proposition — but lacked clarity on the required steps.
I conducted a focused strategy session with the business owner, structured the full market entry strategy into clear blocks, and mapped every step into my proprietary task management system. I defined timelines, estimated budgets, assigned responsibilities, and outlined the necessary org structure to execute the plan.
The client received a complete roadmap, including a mind map in xmind and pdf formats, along with a fully structured Google Sheets action plan.
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58
Profit and loss tracker for daily financial indicators +KPI dashboards.
I developed a spreadsheet with an advanced system for tracking daily P&L metrics.
The sheet allows analysis across different time frames (week, month, 6 months, year) and includes dynamic projections based on the last 3, 5, or 7 days of performance.
It features:
– Automatically calculates planned targets and actual results using built-in formulas.
– Assigns responsible owners and priorities to each metric.
– Manager evaluation system that links daily performance ratings to employee compensation.
– KPI dashboards for clear visualization.
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64
Apps Script to create Google events and tasks when a cell is updated.
The requirement was to automatically create Google Tasks and Calendar events when a task is entered in Google Sheets.
• Implemented automatic updates to Google Tasks when the task name, status, or date is modified in the sheet.
• When a task is completed in Google Tasks, its status updates automatically in the spreadsheet for all assigned users.
• Meetings are scheduled via the sheet, generating Google Calendar events for all Gmail participants listed in the cell.
• Added automatic updates to calendar events when changes are made in the sheet.
• Entire solution built using Google Apps Script.
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63
AI Operations & Global Expansion Strategist
AI Operations & Global Expansion Strategist
I architected a centralized QC infrastructure to scale a digital institution’s data pipeline across 12+ deployment streams. By developing a standardized "Definition of Done" framework and custom SmartSuite data environments, I transformed manual review cycles into an optimized, data-driven operation.
Key Architectural Results:
• Reduced revision cycles by 30% and accelerated deployment velocity by 20%.
• Engineered real-time KPI dashboards, providing 100% operational pipeline visibility.
• Improved turnaround by 25% via early-stage risk detection.
• Institutionalized a scalable QC Manual.
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40
I engineered a phase-gated framework in Smartcat to execute the localization of policy-sensitive guidelines for a UNESCO-aligned initiative, managing compliance risks across asynchronous global teams.
Key Architectural Results:
• Velocity Optimization: Improved approval turnaround by 25% via structured SLAs and automated glossary enforcement.
• Risk Mitigation: Reduced late-stage revision cycles by 30% using a rigorous LQA taxonomy framework.
• Lifecycle Efficiency: Achieved 100% on-time delivery while maintaining strict UI/UX and data integrity.
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47
I engineered a continuous localization and quality governance framework for an international web platform, transforming fragmented workflows into an enterprise-grade operation. I deployed a 4-stage automated pipeline via Smartcat to ensure 100% data traceability and zero UI/UX breakage.
Key Architectural Results:
• Process Integrity: Eliminated operational bottlenecks by institutionalizing strict entry/exit gate criteria.
• Execution Velocity: Maintained zero missed milestones by establishing proactive risk-aware sprint protocols.
• Scaled a repeatable, cross-border deployment pipeline.
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28
I engineered multilingual QA governance and RAG evaluation systems for frontier models at Turing, optimizing personalization across 5,000+ data samples. I built a scalable training system by designing structured error taxonomies and automated debug metadata workflows.
Key Architectural Results:
• Model Optimization: Cut model output inconsistencies by 18% through multi-turn SxS evaluation.
• Sprint Alignment: Synchronized cross-functional teams with rapid Agile RLHF deployment cycles.
• Risk Management: Mitigated hallucinations by tracking semantic drift and grounding metrics.
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32
Business & Data Analysis
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