Kavya Vishnoi

Software Engineer

Noida, Uttar Pradesh, India5 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Designed an efficient on-demand installation framework at Adobe.
Achieved a 50% reduction in PDF creation time.
Led development of a desktop notification system to boost engagement.

Stackforce AI infers this person is a Software Engineer with a strong focus on Software Development and Machine Learning.

Contact

Kavyavishnoi2812@gmail.com LinkedIn

Skills

Core Skills

Software DevelopmentC++

Other Skills

AlgorithmsData StructuresMySQLXcodeGitHubVisual StudioGitAgile Software DevelopmentProgramming LanguagesMachine LearningHTMLCascading Style Sheets (CSS)

Experience

5 yrs 8 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs 3 mos

Current Experience

Adobe

6 roles

Software Developer

Jul 2022 – Present · 3 yrs 10 mos

Designed and implemented an on-demand installation framework reducing Acrobat installer size and
improving deployment efficiency.
Built a standalone patch-cleanup utility removing superseded patches consuming up to 20GB+ disk
space, improving system stability.
Led developmemt of a desktop notification system with intelligent cadence, increasing Reader
engagement and monthly active users.
Delivered Mac PDFMaker support for macOS Sequoia, resolving OS-level permission issues blocking
Acrobat and Reader releases.
Enhanced Acrobat Add-in support for 64-bit Microsoft Visio, including new file formats and right-click
PDF conversion.
Owned Office-to-PDF conversion workflows, resolvingWord Mail Merge failures introduced by
Microsoft Information Protection updates.
Preserved digital signature metadata across document operations, ensuring compliance and data
integrity.

C++AlgorithmsData StructuresMySQLSoftware Development

Software Engineer

Jul 2022 – Present · 3 yrs 10 mos

Designed and implemented an on-demand installation framework reducing Acrobat installer size and improving deployment efficiency.
Built a standalone patch-cleanup utility removing superseded patches consuming up to 20GB+ disk space, improving system stability.
Led developmemt of a desktop notification system with intelligent cadence, increasing Reader engagement and monthly active users.
Delivered Mac PDFMaker support for macOS Sequoia, resolving OS-level permission issues blocking Acrobat and Reader releases.
Enhanced Acrobat Add-in support for 64-bit Microsoft Visio, including new file formats and right-click PDF conversion.
Owned Office-to-PDF conversion workflows, resolving Word Mail Merge failures introduced by Microsoft Information Protection updates.
Preserved digital signature metadata across document operations, ensuring compliance and data integrity.

Software Developer Internship

Promoted

Feb 2022 – Jul 2022 · 5 mos

Successfully executed a Proof of Concept (POC) resulting in a substantial reduction in the time taken for Acrobat PDF creation from Office files.
Achieved a 50% reduction in Acrobat PDFMaker conversion time, enhancing efficiency in document processing

Software Engineer Intern

Feb 2022 – Jul 2022 · 5 mos

• Delivered Fast PDFMaker proof of concept achieving 50% reduction in Office-to-PDF conversion time.

Software Developer Internship

May 2021 – Jul 2021 · 2 mos

Work on Adobe Scan for performing the dewarping on scanned pages

Product Specialist

May 2021 – Jul 2021 · 2 mos

• Built document dewarping proof of concept for Adobe Scan, improving scanned document quality.

Technocolabs

Machine Learning Specialist

Nov 2020 – Dec 2020 · 1 mo

In this Machine Learning Internship I have made the following Projects
1- Credit Card Deafaulters Project
2- Machine-Learning-for-Statistical-Arbitrage-Using-News-Media-to-Predict-Currency-Exchange-Rates