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Kusha SharmaKS
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Kusha Sharma

@kushasharma

I build scalable ServiceNow ITSM solutions that improve adoption and governance.

India
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At Inmorphis Services, I led ServiceNow work streams for an approximately $80M platinum client engagement, supporting an end-to-end migration from a legacy ITSM platform. I translate stakeholder requirements into scalable ServiceNow solutions, user stories, and sprint-level implementation plans.

I built a custom Walk-Up Bar widget that cut customer wait time by 50%, and workflow-based ServiceNow solutions that reduced request resolution time by up to 70%. I also rationalized Change Management configurations, reducing unnecessary custom development by approximately 30%.

My work spans Incident, Problem, Change, Service Catalog, CMDB, Service Portal, and App Engine Studio. I've owned the Problem Management roadmap, built department-specific self-service portals and business applications, and strengthened change governance through unauthorized-change visibility and compliance tracking.

Earlier at FIS, I collaborated across product, design, and engineering to shape customer-facing solutions, prototypes, and features. I enjoy enabling clients through demos and reporting, presenting business outcomes to global stakeholders, and mentoring engineers on ServiceNow best practices.

Experience

Work history, roles, and key accomplishments

IL

Senior Software Engineer - ServiceNow ITSM Consultant

Inmorphis Services Pvt. Ltd.

Dec 2022 - Oct 2025 (2 years 10 months)

Led ServiceNow work streams within an ~$80M platinum client engagement, supporting end-to-end migration from a legacy ITSM platform. Built custom widgets and applications, improved change governance, and mentored junior engineers.

Education

Degrees, certifications, and relevant coursework

Chandigarh University logoCU

Chandigarh University

Bachelor of Engineering, Computer Science and Engineering

2017 - 2021

Activities and societies: HackerRank-qualified in Data Structures & Algorithms

Pursued a Bachelor of Engineering in Computer Science and Engineering with a specialization in Computational Intelligence and Machine Learning.

Tech stack

Software and tools used professionally

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