MUHAMMED ATHEEQ FARHAN

Certified Scrum Master with 8+ years of professional experience, including ~5 years supporting Scrum and Agile delivery across enterprise environments. Experienced in Scrum facilitation, team coaching, backlog readiness, impediment removal, dependency management and continuous improvement. Hands-on exposure to Essential SAFe across two PI cycles, alongside Scrum and Kanban, using Jira delivery insights to improve flow, transparency and value delivery.

• Certified Scrum Master (CSM)
• Certified AI Empowered SAFe 6 Scrum Master (SSM)
• Scrum Alliance — AI & Agility
• Atlassian Credentialed in Rovo Fundamentals
• Scrum Fundamentals Certified
• Scrum for Ops and DevOps Fundamentals Certified
• SAFe Practitioner (Tech Ops) — ServiceNow
• Learn "Basics of PMI-ACP®" — Simplilearn
• Generative AI Overview for Project Managers — PMI
• Conflict Resolutions for Professionals
• Work with Azure Boards for Project Management in Business Central
• CI/CD for Beginners
• Get the Most Out of Atlassian Intelligence
• IBM Design Thinking Certification — Practitioner
• IBM Design Thinking Certification — Team Essentials
• Generative AI Fundamentals
• AI for Product Management Course

Organization: Amazon
Framework: Essential SAFe
Role: Scrum Master / Agile Delivery Practitioner
SAFe Experience: 2 PI Cycles
Project Type: Enterprise Digital Commerce / AI

The project involved multiple Agile teams working toward common business objectives within an Essential SAFe setup. I supported the team during two Program Increment cycles, contributing to PI Planning, PI execution, dependency management, team-level Scrum ceremonies, and continuous improvement.

• Facilitated Sprint Planning, Daily Scrum, Sprint Reviews, and Retrospectives.
• Supported PI Planning activities and helped the team align Sprint-level work with PI objectives.
• Facilitated team discussions around features, user stories, dependencies, risks, and impediments.
• Maintained visibility of Sprint and PI progress using Jira.
• Coordinated with Product Owners and stakeholders to clarify requirements and acceptance criteria.
• Facilitated cross-team dependency discussions and escalation of unresolved blockers.
• Supported Inspect & Adapt activities and helped convert improvement opportunities into actionable items.
• Monitored delivery metrics and used them to identify trends and improvement areas.
• Promoted transparency, collaboration, accountability, and continuous improvement.

• Improved Sprint predictability to approximately 95% through better story readiness, capacity alignment, and commitment practices.
• Reduced cross-team dependency resolution time by approximately 30% through proactive dependency tracking and escalation.

Jira | Confluence | Slack | Zoom | Scrum | Essential SAFe | PI Planning | Inspect & Adapt | Agile Metrics

Organization: Amazon
Framework: Scrum
Role: Scrum Master
Project Type: Enterprise AI / Knowledge Management

Orion was an enterprise AI knowledge and productivity platform designed to help employees discover organizational information, access relevant knowledge, and improve day-to-day productivity through AI-enabled capabilities.

The project followed Scrum, with the team working in iterative Sprints to deliver incremental platform capabilities while responding to evolving business and user requirements.

• Served as Scrum Master for the Agile development team.
• Facilitated Sprint Planning, Daily Scrum, Sprint Review, and Retrospective.
• Partnered with the Product Owner to maintain a healthy and prioritized Product Backlog.
• Facilitated backlog refinement and requirement clarification sessions.
• Helped the team establish clear acceptance criteria for user stories.
• Removed impediments affecting development and testing activities.
• Monitored Sprint progress through Jira dashboards and Agile metrics.
• Facilitated Sprint Reviews with stakeholders and encouraged meaningful feedback.
• Used Retrospectives to identify recurring delivery issues and improvement opportunities.
• Supported collaboration between Product, Engineering, QA, and other stakeholders.
• Encouraged the team to take ownership of Sprint Goals and delivery commitments.

• Reduced Sprint spillover by approximately 35% through improved refinement, estimation, and Sprint planning discipline.
• Improved end-to-end cycle time by approximately 25% by identifying workflow bottlenecks and strengthening development–QA collaboration.

Jira | Confluence | Slack | Zoom | Scrum | Agile Metrics | AI-enabled Enterprise Platform

Organization: Sutherland
Framework: Kanban
Role: Scrum Master / Agile Delivery Practitioner
Project Type: Engineering Flow & Value Stream Management

Pulse was an Engineering Flow and Value Stream Platform focused on improving visibility across the software delivery lifecycle and helping engineering teams understand and optimize the flow of work from demand through development, testing, and delivery.

The platform provided teams and stakeholders with greater transparency into work movement, bottlenecks, dependencies, and delivery performance. The project followed a Kanban-based delivery model, with emphasis on continuous flow, Work in Progress (WIP) management, cycle time, throughput, and value-stream optimization.

• Supported the team in applying Kanban principles and practices across the engineering workflow.
• Facilitated visualization of the end-to-end engineering workflow using Kanban boards.
• Monitored Work in Progress (WIP) and helped identify areas of congestion and bottlenecks.
• Used flow metrics such as cycle time, throughput, and work-item aging to understand delivery performance.
• Facilitated discussions around improving the flow of work across Development, QA, and other engineering functions.
• Helped identify dependencies and constraints affecting the movement of work through the value stream.
• Worked with stakeholders to improve visibility into delivery status and engineering flow.
• Facilitated continuous-improvement discussions based on flow data and observed bottlenecks.
• Encouraged teams to focus on optimizing the overall value stream rather than individual team utilization.
• Supported prioritization and sequencing of work based on business value and delivery constraints.
• Used Jira-based dashboards and metrics to provide transparency into engineering delivery performance.

• Reduced end-to-end engineering cycle time by approximately 40% by identifying workflow bottlenecks and improving WIP management.
• Improved value-stream throughput by approximately 25% through better flow visualization, bottleneck identification, and work distribution.

Jira | Confluence | Trello | Slack | Kanban | Value Stream Management | WIP Management | Cycle Time | Throughput | Flow Metrics | Engineering Delivery

Organization: Sutherland
Framework: Scrum
Role: Scrum Master
Project Type: Performance Intelligence / Enterprise Platform

Axiom was an Associate Performance Intelligence Platform designed to provide improved visibility into associate performance, productivity trends, operational metrics, and performance-related insights.

The platform helped management and operational stakeholders access structured performance information and use it to support data-driven operational decisions.

• Supported the end-to-end Scrum delivery process as Scrum Master.
• Facilitated Sprint Planning, Daily Scrum, Sprint Review, and Retrospective.
• Worked closely with the Product Owner on backlog prioritization.
• Facilitated backlog refinement and requirement clarification.
• Helped the team break complex requirements into manageable user stories.
• Supported estimation and Sprint commitment discussions.
• Identified and removed impediments affecting delivery.
• Facilitated stakeholder communication and Sprint Reviews.
• Monitored team capacity, Sprint progress, and delivery trends.
• Encouraged continuous improvement based on retrospective outcomes.
• Promoted transparency around delivery risks, dependencies, and commitments.

• Improved Sprint Goal achievement by approximately 20% through stronger Sprint planning and better alignment between business priorities and team capacity.
• Reduced blocked work by approximately 30% through proactive impediment identification and faster stakeholder escalation.

Jira | Confluence | Slack | Zoom | Scrum | Agile Metrics | Sprint Planning | Backlog Refinement

Organization: Sutherland
Framework: Scrum
Role: Scrum Master
Project Type: Enterprise Case Management

Nova was an Enterprise Case Management Platform designed to streamline case handling, workflow management, operational tracking, and resolution processes.

The platform enabled business teams to manage cases through structured digital workflows while improving visibility into case status, ownership, and operational activities.

• Served as Scrum Master for the delivery team.
• Facilitated Sprint Planning, Daily Scrum, Sprint Reviews, and Retrospectives.
• Worked closely with Product Owners and stakeholders to clarify business requirements.
• Facilitated backlog refinement and story-readiness discussions.
• Helped teams break complex requirements into smaller, actionable user stories.
• Supported definition and clarification of acceptance criteria.
• Identified delivery risks, impediments, and dependencies.
• Facilitated collaboration between Development, QA, Product, and business stakeholders.
• Monitored Sprint progress and delivery health through Jira.
• Supported continuous improvement based on retrospective outcomes.
• Maintained transparency around Sprint commitments and delivery progress.

• Improved backlog readiness by approximately 30% through structured refinement and earlier clarification of requirements.
• Reduced defect leakage into subsequent Sprints by approximately 25% by strengthening acceptance-criteria discussions and Development–QA collaboration.

Jira | Confluence | Slack | Zoom | Scrum | Agile Delivery | Backlog Refinement | Acceptance Criteria

• GEM (Going Extra Mile) Award: Amazon (2024)
• Best Team Lead: Sutherland (2021)
• Best Mentor: Sutherland (2021)
• Best Performer of the Year: Sutherland (2020)