Scalable Systems.
Predictable Architecture.
Jabir Minjibir. Specializing in High-Throughput Scala Environments.
Building resilient backends for mission-critical applications.
System Specifications
Actor-based concurrency for resilient, distributed state management.
Event streaming backbone with polyglot persistence (OLTP/OLAP).
Hermetic, reproducible development environments.
Type-safe, compiler-optimized frontend architecture.
CASE STUDY 01: THE CONCURRENCY BOTTLENECK
Eliminating Resource Leaks via Reactive Backpressure
A high-volume ingestion subsystem was experiencing critical instability. As load increased, the system suffered from unbounded buffering and timeouts. Low-level concurrency primitives were failing, causing memory leaks and total system crashes.
Re-architected the ingestion layer using Reactive Streams and the Actor Model. Introduced dynamic flow control to eliminate 'buffer bloat' and decoupled processing logic into stateful actors.
- + Stability: Eradicated crash-inducing resource leaks.
- + Efficiency: Unlocked hardware potential; halted expensive DB upgrades.
- + Resilience: System handles traffic spikes via flow modulation.
Fig_1.1: Reactive Backpressure
CASE STUDY 02: VELOCITY AMPLIFICATION
Eliminating Environment Drift via Hermetic Containers
Development velocity was throttled by inconsistent local environments. 'Works on my machine' bugs consumed 15% of sprint cycles, and new engineer onboarding took 5+ days due to configuration friction.
Engineered a standardized, containerized local development ecosystem using Docker and Nix. Decoupled infrastructure from the host OS, creating a purely declarative environment.
- + Velocity: Onboarding time reduced from 5 days to <4 hours.
- + Reliability: 100% parity between local, staging, and production.
- + Cost: Recovered ~15% of engineering hours previously lost to config debugging.
Fig_1.2: Environment Parity Cycle
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Availability: Open for high-leverage architectural consulting.