AG
Atut Gorkhali atutgorkhali.com.np
Predictable Flow • Active Delivery
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TECHNICAL PM & AGILE DELIVERY LEADER • 10+ YEARS: DEV → ANALYSIS → DELIVERY

Turning complex technology work into predictable, shipped outcomes.

I bring together software engineering, enterprise systems analysis, and Agile delivery to help teams make work visible and coordinate predictable releases. Today, I coordinate concurrent Scrum and Kanban teams delivering healthcare analytics across the US, Nepal, and India—grounded in SDLC rigor, proactive RAID control, and CAB release readiness.

Inspect Live Delivery Board ↓ WhatsApp (+977 9849088334)
10+ Yrs
Dev, Systems Analysis & Delivery
Nearly 5 Yrs
Project Management & Releases
5+ Teams
Led Across US • NP • IN
3 Roles
Progression: APM → PM I → PM II
SYS.MAP // MULTIDISCIPLINARY VALUE STREAM
US NEPAL INDIA

My career is structured like a continuous delivery pipeline—each discipline eliminates handoff blind spots in the next. Click any stage to inspect:

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RECRUITER / HIRING COMMITTEE LENS: Filter portfolio board by target vacancy profile
Filter Lens:

01. Backlog & Vision

SYS: READY
STREAM 01 FOCUS Backlog, Technical Roots & Software Architecture
AG-01 // IDENTITY PM II @ COTIVITI / INFINITE

Bridging Code, Analysis & Distributed Execution

Healthcare Analytics • SAFe SASM & POPM

I bring together software engineering roots, enterprise systems analysis, and Agile leadership to make distributed delivery across US, Nepal, and India predictable.

Predictable Releases RAID Governance Cross-Border Flow
AG-02 // ROOT STACK C# / .NET / SQL

Why My Engineering Background Matters to Stakeholders

Having built custom ERP software and integrated APIs (IRD Nepal, eSewa) in C#/.NET, I translate architectural constraints, technical debt, and integration risks into honest executive trade-offs.

C# .NET Core/MVC SQL & Database Design API Integrations
AG-03 // CAPACITY ARCHITECTURE 8H → STORY POINTS

Multi-Shore Capacity Planning & Story Point Sizing

Translating individual 8h/day availability into committed story points across US, Nepal & India calendars—accounting for national holidays (Dashain, Thanksgiving), PTO, and 75% focus factor buffers.

8h/d → Story Points US • NP • IN Holidays SAFe PI Planning

02. WIP & Diagnostics

WIP LIMIT: 3/3
STREAM 02 FOCUS WIP Constraints, Flow Physics & Telemetry Diagnostics
FLOW PHYSICS SIMULATION LITTLE'S LAW MODEL

Flow Diagnostic: WIP vs. Cycle Time

Interactive queueing simulation demonstrating the mathematical trade-off between strict WIP limits and multitasking drag (hypothetical model):

■ Indigo: Arrival / WIP ■ Teal: Shipped Value [SIMULATED]
Sim. Cycle Time
5.2 Days
Active Queue
6 Items
Context Switch Loss
Low (8%)
Flow Efficiency
84%
AG-04 // OPERATING SYSTEM SCRUM + KANBAN

Zero-Downtime Scrum-to-Kanban Transition

Coached an active healthcare analytics engineering team from rigid sprint batching into a continuous flow-based Kanban model—eliminating artificial sprint-end bottlenecks without interrupting release cadence.

Flow Coaching Cycle Time Telemetry
AG-05 // SYNCHRONIZATION US • NP • IN

Solving the 10-Hour Time-Zone Handoff Gap

Designed inclusive ceremony cadences, asynchronous decision logs, and explicit blocker escalation protocols so US product leaders and Nepal/India engineering squads never lose 24 hours waiting on clarity.

Async Decision Logs Early Risk Surfacing

03. Shipped Value

VERIFIED IMPACT
STREAM 03 FOCUS Enterprise Case Studies: Healthcare Analytics & Core Banking
CASE-01 // HEALTHCARE ANALYTICS 2021 – PRESENT

Healthcare Analytics Delivery Across US, Nepal & India

Cotiviti Nepal / Infinite Computer Solutions • PM II (Transitioned 16 Feb 2024)

🔴 CHALLENGE 10-hr time-zone handoff lag across US/Nepal/India & cross-ART dependency friction.
🔵 ACTION Governed dual Scrum/Kanban teams; instituted async decision logs & proactive RAID release management.
🟢 RESULT 100+ releases delivered on-plan (<0.5% rollback); advanced from Associate PM to PM I and PM II.
100+ Releases On-Plan 5+ Teams Led CAB Release Mgmt
CASE-02 // FINTECH & BANKING ERP 2018 – 2021

Enterprise Banking & National Fund Process Automation

InfoDevelopers Pvt. Ltd. • Associate Team Lead (Business/System Analyst)

🔴 CHALLENGE Complex regulatory compliance & workflow ambiguity for flagship national banks (Banijya Bank & NLK).
🔵 ACTION Led systems analysis, UAT signoffs, value-stream mapping & mentored 10+ Business Analysts.
🟢 RESULT Automated core banking modules; cut manual reconciliation cycles & eliminated audit penalties.
10+ BAs Mentored Banijya Bank & NLK Value Stream Analysis
CASE-03 // .NET ENGINEERING 2016 – 2018

Full-Stack .NET ERP & Payment Gateway Integrations

Perfect Active Solutions • CodeBee Tech • Kantipur ITINK

🔴 CHALLENGE Strict IRD government fiscal audit laws & fragmented payment gateways across hospitality/logistics.
🔵 ACTION Engineered C# .NET Core MVC architectures with real-time IRD fiscal sync & eSewa payment APIs.
🟢 RESULT Zero tax compliance penalties; established foundational engineering empathy for PM leadership.
C# .NET Core eSewa & IRD APIs Logistics & Hotel ERP

04. Retro & Connect

ACTION: OPEN
STREAM 04 FOCUS Retrospective, Verified SAFe Credentials & Direct Channels
AG-06 // ACADEMIA & COACHING MCIS + BSC

Academic Pedigree & Agile Mentorship

Master of Computer Information Systems (MCIS) Pokhara University (Nov 2021) • GPA: 3.88 / 4.00
B.Sc. (Hons) in Computing Leeds Beckett University via The British College • First Class Honours
Faculty Lecturer: Virinchi College (2025) & ISMT College (2020–2022) • Enterprise Agile coaching & onboarding mentorship.
01 // MULTIDISCIPLINARY ADVANTAGE

Three Lenses, One Coherent Delivery System

Most project handoffs fail in the translation layer between business ambition, system architecture, and sprint execution. Because I have worked inside all three roles over the past decade, I close those gaps natively.

LENS 01 // ENGINEERING 2016 – 2018

The Developer’s Empathy & Technical Realism

Having written production C#/.NET code, designed relational schemas, and debugged third-party API integrations, I understand why estimates slip and why technical debt compounds.

  • Facilitates constructive architecture & technical debt trade-offs with Product Owners.
  • Protects engineering focus from context-switching and unvetted mid-sprint scope creep.
  • Speaks the native language of DevOps, QA automation, and database architecture.
LENS 02 // SYSTEMS ANALYSIS 2018 – 2021

Translating Ambiguity Into Actionable Flow

Three years leading system analysis for banking and national investment institutions taught me that downstream coding bottlenecks usually originate as upstream requirement ambiguity.

  • Decomposes complex regulatory and financial workflows into clear, testable backlog items.
  • Maps end-to-end value streams to expose cross-team dependencies before work begins.
  • Mentored 10+ Business Analysts in structured requirement modeling and UAT governance.
LENS 03 // AGILE DELIVERY 2021 – PRESENT

Predictable Cross-Border Execution at Scale

Leading concurrent Scrum and Kanban teams across the US, Nepal, and India requires more than running ceremonies—it requires building telemetry and trust across time zones.

  • 100+ healthcare analytics releases shipped on-plan with proactive RAID governance.
  • Actionable flow metrics (cycle time, lead time, escaped defects, team health).
  • Seamless Scrum-to-Kanban coaching tailored to operational reality rather than dogma.
02 // DELIVERY OPERATING PHILOSOPHY

How I Diagnose & Optimize Team Flow

High resource utilization often disguises slow value delivery. Use the interactive simulator below to explore how I use Work-in-Progress (WIP) constraints and blocker resolution to govern cycle time and release predictability.

FLOW PHYSICS LAB (LITTLE'S LAW) INTERACTIVE HYPOTHETICAL SIMULATION
OPTIMAL FLOW (94% PREDICTABLE)
PRESETS:
8 Active Tickets
Focused Pull (4) Balanced (8–10) Context Swapping (24)
1 Blocker
Proactive RAID (0–1) Async Delay (3) Silo Friction (6)
LITTLE'S LAW MATHEMATICAL DYNAMICS: W = L / λ Cycle Time = 8 WIP ÷ 1.48/d = 5.4 Days
8 WIP (5.4d)
Lean Pull (Low WIP) ▲ Knee of Curve (Saturation) Severe Queue Drag
Est. Cycle Time
5.4 Days
Release Predictability
94%
Defect Escape Risk
Low
Diagnostic Assessment: Healthy Pull System With WIP constrained to 8 items and cross-border blockers actively resolved, engineers finish work before starting new tickets—keeping cycle time under 6 days and release commitments reliable.
ℹ️ Simulation Disclaimer: This interactive model demonstrates queueing theory and Little's Law (W = L / λ) using synthetic parameters to illustrate WIP saturation and cycle-time drag. It serves as an educational diagnostic model, not employer production telemetry.

01. Outcomes Over Activity VALUE > VELOCITY

Story points completed mean nothing if the release fails to solve the stakeholder's problem or breaks downstream systems. I align backlog prioritization directly with measurable business outcomes.

02. Flow Over Utilization Theatre STOP STARTING, START FINISHING

A team loaded at 100% individual capacity has zero buffer for unexpected complexity. I optimize for the speed of work moving across the board, not keeping every calendar slot packed.

03. Transparency Over Assumptions EARLY RISK SURFACING

Bad news does not improve with age. I build psychological safety and structured RAID logs so teams surface blockers weeks before a deadline rather than reporting misses in the sprint review.

04. Responsible AI Adoption Over Hype PRACTICAL ACCELERATION

AI accelerates code generation and documentation, which shifts the bottleneck toward requirements clarity, code review, and QA validation. Delivery management must evolve accordingly.

03 // EDITORIAL BACKLOG & FIELD NOTES

Working Notes on Modern Delivery & AI

A structured editorial framework for upcoming field notes drawing from cross-border healthcare delivery, systems analysis, and practical AI integration.

TOPIC-01 // AI & FLOW UPCOMING ESSAY

When AI Speeds Up Coding, Where Does the Bottleneck Move?

Exploring how AI-assisted development compresses coding time while increasing pressure on upstream systems analysis, PR review queues, and regression testing.

AI in Delivery Queue Theory
TOPIC-02 // ESTIMATION UPCOMING ESSAY

Beyond Story Points: Forecasting With Cycle Time & Throughput

Why historical flow metrics (cycle time scatterplots and throughput stability) often give executives better release confidence than hours spent debating Fibonacci numbers.

Flow Metrics Predictability
TOPIC-03 // DISTRIBUTED TEAMS UPCOMING ESSAY

Designing Async-First Rituals for US–Nepal–India Delivery

Practical playbooks for eliminating the 24-hour ping-pong delay across 10+ hour time-zone gaps through structured specification handoffs and decision logs.

Global Teams Communication
● SYS.ONLINE 100+ Releases On-Plan • 5+ Teams Led (US, NP, IN) • Kathmandu: Loading NPT...
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