Suyash Sharma

Software Engineer specializing in Flutter with experience developing production-grade Android and iOS applications focused on telematics, embedded dashcam systems, GPS visualization, media playback, and performance optimization. Passionate about building scalable mobile architectures and solving complex hardware-software integration challenges.

Software Engineer - ONELAP TELEMATICS

(2025-04)

• Developed and optimized critical customer-facing features, directly contributing to the application's rapid growth and achieving over 1 Lakh+ total downloads across both Android and iOS platforms.
• Led the end-to-end integration of the Starvis 2 Dashcam, building core features like live streaming and recording while refactoring the app's architecture to easily support future dashcam models.
• Solved hardware communication limits by engineering a sequential API request queue. This prevented device overload and reduced connection failures on single-channel dashcams.
• Built a custom "Pausable Cache Manager" that intelligently suspends background thumbnail fetching during video playback, eliminating resource contention and reducing media buffering.
• Engineered a high-performance, zero-dependency video seekbar featuring dynamic timeline highlights to indicate recorded segments, significantly optimizing video scrubbing responsiveness.
• Integrated Google Maps for real-time GPS tracking, allowing users to view live trip statistics and accurately play back historical driving routes.
• Created an automated Over-The-Air (OTA) firmware update system using Firebase Firestore, allowing users to update their dashcam software remotely without manual intervention.
• Integrated Firebase Crashlytics for production diagnostics and developed internal CRM modules, including customer feedback analytics and review collection workflows, enabling faster issue analysis and streamlining business operations.

Software Engineer Intern - NIKAH FOREVER

(2025-01 - 2025-04)

• Developed responsive UI components for Android and iOS applications, integrated REST APIs, and resolved production issues to optimize overall application performance.
• Collaborated with cross-functional teams to deliver production-ready mobile features.

Software Engineer Intern - OCULOSENSE

(2023-08 - 2023-11)

• Developed an Android application using Java and Kotlin to capture live video from external USB cameras connected through OTG.
• Implemented OCR-based text recognition with real-time text-to-speech conversion, significantly improving accessibility for visually impaired users.

Bachelor of Technology - Computer Science Engineering (Artificial Intelligence & Machine Learning) - SRM Institute of Science and Technology (2021 - 2025)