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Software Engineering Insights

Sanya Khetarpaul

Sanya is a tech enthusiast who leverages SEO + Storytelling in content across SaaS, digital products, and emerging technologies. Her superpower is unpacking lines of code with research-backed insights and adopting a human-first approach to connect with users.

Recent Posts

AI In EHR Systems: Redefining Intelligence in Healthcare

By Sanya Khetarpaul on Aug 8, 2025 9:54:50 AM

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In healthcare development, the challenge has shifted from simply digitizing medical records to designing systems that restore clinical focus.

A review published by a medical journal found that over 40% of healthcare professionals experience burnout,  linked directly to EHR use, with documentation burdens and after-hours data entry cited as major contributors. 

This isn’t a usability issue; it’s a signal that current EHR systems are out of sync with the reality of prompt healthcare delivery.

Here, AI shows the way.

Topics: Healthcare Artificial Intelligence
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How to Build an E-commerce App Like Noon?

By Sanya Khetarpaul on Jul 28, 2025 2:39:24 PM

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Noon’s dominance in the MENA region isn’t just a story of logistics or sleek UI; it’s about building a business that deeply understands and adapts to local consumers. Launched in 2017 by Mohamed Alabbar, Noon raised over $2 billion and became the Middle East's answer to Souq (now Amazon), proving that even markets with 23 years of dominance present opportunities for strategic regional champions.

Noon saw an opportunity in hyper-localization for the Middle Eastern market. The MENA (Middle East and North Africa) e-commerce market is expected to hit $80 billion by 2029, driven by high internet and smartphone penetration rates.

Topics: Digital Commerce Mobile App Development
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AI-First QA: Building Smarter Software Testing Workflows

By Sanya Khetarpaul on Jul 21, 2025 3:08:24 PM

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Even after crossing the beta testing phase, QA teams find themselves stuck in long testing cycles, putting in tens of hours of manual effort before the software or a feature is ready for release. At this point, quality assurance becomes more than a checkpoint; it is the deciding factor between a successful launch that entices users and one that is forgotten.

According to a report by Gitnux, Enterprises using AI for testing have reduced their test script maintenance efforts by 65%, resulting in faster releases and more dependable software. 

Topics: Artificial Intelligence Software Testing
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