M

She/Her

Meghna

Curious and driven, I blend creativity with problem-solving and care deeply about growth, balance, and the people around me.

Curious and driven, I blend creativity with problem-solving and care deeply about growth, balance, and the people around me.

Endorsements

Campus professional

About Me

Arizona State University

Tempe, AZ, US

computer science (software engineering)

Class of 2027

Tempe, AZ, USA

Skills

Java
SQL
JavaScript

Interests

Business
Fashion design
Social media

Brands I Follow

Jackeez & Nicolz
Home From College
Notable

Interview Questions

Notable

Daily Content Creator for Journal App

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What strategies do you use to engage a new audience on social media?

I focus on meeting new audiences where they already are by using platform-specific content, trends, and formats while keeping the messaging clear and relatable. I prioritize short-form video, interactive elements like polls and questions, collaborations with creators, and consistent posting, then refine strategy using engagement data to see what attracts and retains attention.

Notable

Daily Content Creator for Journal App

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How would you approach creating viral growth videos?

I’d start by studying trends on the platform to understand what formats, hooks, and sounds are performing well, then adapt them to the brand’s voice rather than copying them directly. I focus on a strong first 1–3 seconds, clear storytelling or transformation, and content that feels authentic and relatable, with captions and visuals designed to encourage saves, shares, and comments. Finally, I’d test variations, analyze performance, and iterate quickly based on what resonates most.

Home From College

QA Specialist Needed

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Can you give an example of a detailed QA report you have created in the past?

Here’s a robotics-focused example:

Bug Title: Autonomous drive path fails to complete during center-start routineSystem: FRC competition robot – autonomous modeEnvironment: Practice field, Rev Control Hub firmware v1.9, Java codebase (2025 season)

Severity: High (prevents autonomous scoring)Steps to Reproduce:Power on robot and enable autonomous mode.Select the center-start autonomous routine.Start match simulation.

Expected Result:Robot drives forward 3 meters, aligns with target, and scores game piece.Actual Result:Robot stops after ~1.5 meters and fails to align or score.

Attachments / Evidence:Driver station logs and video recording of autonomous run.

Notes / Suspected Cause:Encoder values reset incorrectly after the first motion command, causing the drive state machine to exit early.

Resolution Verification: After fixing the encoder reset logic, multiple autonomous runs were tested on the practice field with consistent completion and no regressions in other routines.

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