Messenger App

During my time with the Messenger PRE E2E team, I had the privilege of working on a diverse range of projects and technologies. This experience allowed me to enhance my skills in C, C++, MSYS, and various applications such as Messenger Light Speed and Messenger E2EE.

A significant project I led was the enhancement of the reliability and stability of our internal C/C++ Library. I was responsible for refining the API implementation and minimizing crashes, which substantially improved the stability of the Library API. This project also involved auditing the Library, creating a visibility dashboard, and providing valuable insights into the project's progress.

Another critical project I undertook was mitigating the impact of Mutex Contention on E2E Latency within the Library. I ensured that the Library API implementation did not adversely affect E2E Latency, particularly in relation to Mutex Contention. This task involved creating a dashboard to monitor the current status and strategize the next steps.

Furthermore, I integrated the Logging library End to End with Msys, enabling the addition of server-side checkpoints to client-side information. This integration significantly improved debugging visibility and productivity, proving to be a valuable addition to our toolkit.

In terms of engineering excellence, I implemented support for interrupted traces for internal libraries for rich media send and collaborated with the Health Team on the instrumentation of Android Messenger - MQTT Connection Quality. I also spearheaded the migration from Java to Kotlin, sharing my knowledge with team members to involve them in this effort.

On the organizational front, I initiated several measures to disseminate Kotlin knowledge within the group through posts and knowledge-sharing sessions. I also began conducting interviews, signed up for mentorship, and guided a mentee.

• Messenger PRE Team (Performance, Reliability & Efficiency)

In my role, I have successfully led and managed a diverse range of projects and tasks. I took the lead on the Android Battery Efficiency project for Workplace and Workchat Android Apps, where I developed comprehensive dashboards, established alerts for regression visibility, and conducted in-depth comparative analysis with Facebook Blue App and Messenger App. I played a crucial role in boosting the efficiency of our OnCall process by addressing and resolving numerous false positive iOS regression tasks. I also led the Rage Shake on Workchat Android project and was instrumental in the creation of a dashboard for Quality, Coverage, and Effectiveness of tests on Workplace and WorkChat Android apps. I took the initiative to onboard Workplace and Workchat Android E2E Tests onto our internal tools, ensuring the protection of critical flows from detrimental changes.

In terms of data management, I executed a project aimed at excluding test companies' data from our metrics, enhancing the accuracy of our data analysis. I consistently conducted code reviews, which significantly improved coding quality and prevented potential bugs.

I proactively improved our documentation, consolidating resources into a single, easy-to-navigate mind map to streamline the onboarding process. I also made valuable contributions to our planning process by proposing innovative project ideas, driving project progress, scoping projects, and drafting detailed specifications.

I actively participated in OnCall and Hackathon, collaborated effectively with the Composer team, and provided assistance to colleagues when they encountered issues. I revamped the Android Reliability Breakdown Metrics dashboard, significantly enhancing its utility for the team. I identified and reported issues in various internal tools, prompting the team to take corrective action.

On-Device ML Infrastructure:

• Engineered a high-performance, resumable ML Model Manager from the ground up to power on-device AI features.

• Optimized model delivery, reducing user data consumption by 10–40 MB per model.

• Scaled the framework to support 30+ live models, enabling seamless integration for the Transcription, Translation and Other On Device AI projecs.

Threading:

• Architected the ThreadId database layer, establishing a new technical standard adopted across both Android and iOS platforms.

• Spearheaded the "View All Replies" framework, refactoring core conversation logic to support advanced threading, pagination, and more.

• Modernized system architecture.

PTT Transcription & Translation (Collaborative):

• Collaborated on the global rollout of PTT Transcription and Translation, focusing on the infrastructure integration and reliability layer.

• Developed the internal feedback and logging systems used to analyze transcription accuracy and drive quality improvements.

• Facilitated critical performance (PRE) investigations, unblocking the feature for global production release.