Mehul Parekh

Built a server-side in-app engagement rendering and targeting engine for Stories 2x2 reward cards, improving ~5% user click-through rate and +5% WAU@D30. Designed eligibility and audience gating with policy-compliant rollout controls and ran 10+ experiments using holdouts, progressive rollouts, and D1/D14/D30 retention measurement to drive ship/iterate decisions.

Designed and implemented a cross-platform ranking and progression system for avatar achievements across Instagram, Horizon, and VR. Led A/B testing with 300K+ users split into three experimental groups, improving DAU by 6% for the static ranking, and built backend services in Hack to support real-time quest tracking at scale.

Collaborated with the backend team to build an in-house metrics and analytics system, enabling product managers with actionable user insights. Optimized APIs for large dataset handling, achieving 30% faster query performance via SQL tuning, and improved platform reliability by resolving production bugs and adding stability enhancements.

Grade: 4.0/4.0

Activities and societies: Relevant coursework: Programming Design Paradigms, Web Development, Algorithms, Cloud Computing, AI.

Pursued a Master’s in Computer Science at Northeastern University, with coursework spanning programming design paradigms, web development, algorithms, cloud computing, and AI. Earned a 4.0/4.0 GPA.

Grade: 8.74/10

Activities and societies: Relevant coursework: Data Structures, Object Oriented Software Engineering, DevOps, DBMS.

Completed a Bachelor of Technology in Information Technology at the University of Mumbai, covering data structures, OOP software engineering, DevOps, and DBMS. Earned an 8.74/10 GPA.