Nabeel M.

-- Architected API requests’ router to target a single domain (rain.com) rather than local jurisdiction/country based. It enabled Rain’s global outreach, unified various web flows and error handling. -- Part of the Tech Leadership team. Working on Product Development process enhancement (Idea and Build stages) to achieve cross-domain clarity. -- Establishing a non-blocking and consistent architecture enhancement efforts. Effectively organized and updated internal knowledge-base and documentation. -- Supporting large refactorings from the Monolith to independent Modular design that utilize the event-driven architecture using Apache Kafka.

-- Coached and promoted backend Engineering Manager. Mentored several other cross-functional team members with leadership principles. Lead and grew a productive department of 30+ headcount. -- Designed customer-tier based packages to target premium and lite price points. Merged million+ production customer accounts and delivered a smooth rollout. -- Designed and implemented the core of the content metadata ingestion. Optimized ingestion time from hours to minutes. It boosted cross-departmental cohesion and support with the content programming team. -- Optimized video playback join-time between channel switching from 500+ ms to <250 ms in collaboration with the broadcast engineering and network teams. -- Designed and implemented the core of multi-stream concurrency control utilizing distributed (stamped) lock with Redis (Lua script). Simplified lock/unlock and optimized the swap from 24+ ms (external solution) to <5 ms. -- Bulk account provisioning scripts (500k+ batches) to achieve sales team’s KPIs with regional telco operators. -- Setup internal production incident response SLA and supported monitoring setup with Datadog. Rolled out various production fixes to keep customers happy. -- Optimized network egress cost and saved (~100k+ USD) on a frequently hit media playback bookmarking service utilizing AWS MemoryDB (Redis with persistence). -- Enhanced large-volume ETL efforts and helped migrate to Matillion. It improved the Data Engineering correctness and enabled the Data Analytics team to add new sources easily.

-- Enhanced a prototyped backend to a scalable and production-quality service. -- Rolled out tracing & performance monitoring. Identified and fixed various network bottlenecks, database queries & relations and server memory usage. -- Enhanced team Communication & Collaboration in and out with the Product and Content teams and improved employee happiness index (reflected by internal surveys) and team headcount retention. -- Implemented unit-testing extensions (atop Junit 5) using Docker containerized Mysql db with memfs to enable fast and real db unit tests. It saved a quarter story points per developer every sprint and speeded up test/develop cycles.

-- Improved engineering & quality processes by introducing unit tests and automated integration tests, CI integrations and monitoring. -- Designed and implemented payment solution with SMS Payments and VAS services. Prototyped and launched successfully within 2 months. Post launch, added new payment channels (DCB payments, Visa/Master Credit Card via Payfort, Apple & Google in-app purchase). It single-handedly enabled direct revenue generation. -- Migrated iOS app’s codebase from Objective-C to Swift and optimized app initialization time from ~11 secs to <2.5 secs utilizing aggressive caching with realm db. It improved the overall responsiveness & customer experience.

-- Improved Single-Sign-on Authentication using social integration. Brought down the total sign-up funnel from minutes to seconds and boosted new subscriptions. -- Implemented Marketing Lead generation (via secure URL redirection workflows) which enabled new marketing and ad campaigns.

-- Refactored a sizable codebase with Spring framework. Made it unit-testable.

-- Implemented the core of highly sophisticated and dynamic Immigration rules.

-- Implemented inventory control system with dynamic view queries and iBatis.

-- Implemented Art & Thesaurus search using Apache Lucene.

-- Provided ad-hoc queries for data analysis by various content collection teams.