Sudhershan Murugesan
@sudhershanmurugesan
NetSuite Developer specializing in SuiteScript 2.0, integrations, and financial workflow automation for reliable ERP enhancements.
What I'm looking for
I’m a NetSuite Developer with experience at Deloitte USI, where I deliver ERP customization and system integrations tied directly to billing, payments, reconciliation, and transaction processing workflows. I bring a problem-solving mindset to every enhancement, from requirement analysis to production support.
In my current role, I develop and support NetSuite SuiteScript 2.0 customizations, including User Event Scripts, Suitelets, Client Scripts, and Map/Reduce scripts. I focus on automation, field validations, transaction processing, and reconciliation enhancements to improve data accuracy and business reliability.
I also build and maintain Boomi integrations to sync order, invoice, and payment data into NetSuite, ensuring accurate and timely financial transaction processing across connected systems. I collaborate with business users to troubleshoot, validate transactions, and support enhancements, while performing functional testing, data validation, concurrency testing, and defect analysis.
Beyond NetSuite, I completed an AI/ML Intern - Computer Vision experience at Samsung Research Institute, building computer vision models using CNNs with Python and machine learning pipelines. I’ve earned multiple NetSuite certifications and received Spot Awards at Deloitte USI for ownership and contributions to business-critical NetSuite projects.
Experience
Work history, roles, and key accomplishments
NetSuite Developer
Deloitte USI
Jul 2024 - Present (2 years)
Developed and supported NetSuite SuiteScript 2.0 customizations (User Event, Suitelet, Client Script, Map/Reduce) to automate validations, transaction processing, and reconciliation workflows. Built Boomi integrations to sync order, invoice, and payment data into NetSuite and performed functional testing and CSV/Saved Searches maintenance across production and sandbox.
AI/ML Computer Vision Intern
Samsung Research Institute
Nov 2022 - Jun 2023 (7 months)
Developed and evaluated CNN-based computer vision models on a 72k+ image dataset, reaching 80% detection accuracy. Built Python ML pipelines for data preprocessing, augmentation, and model evaluation.
Education
Degrees, certifications, and relevant coursework
PSG College of Technology
Bachelor of Engineering (B.E.), Electronics and Communication Engineering
2020 - 2024
Grade: CGPA: 8.77
B.E. in Electronics and Communication Engineering at PSG College of Technology from 2020 to 2024, with a CGPA of 8.77.
Availability
Location
Authorized to work in
Job categories
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