• Build production-grade systems

• Focus: React Native, backend, system architecture

• Specialized in:

  • 🔐 Secure / zero-trust architectures
  • 📶 Offline-first sync systems
  • ⚡ Performance tooling & observability
  • 🧠 Applied ML / AI pipelines
  • ⚙️ Native modules & mobile systems

• Deliver full-stack products with: architecture • persistence • security • deployment • real-world tradeoffs

🌴 Currently living in the Maldives 🇲🇻
💬 Ping me about design, data analytics, and system architecture
🍵 I'm also a certified Tea Connoisseur - ask me for a perfect brew!

I build production-grade React Native applications designed for real-world constraints: offline usage, degraded networks, and long-term maintainability.

• Architecture: feature boundaries, typed data flows, navigation at scale
• State & storage: durable local state, persistence strategies, sync readiness
• Native integration: TurboModules, platform-specific performance paths
• Delivery: release stability, crash resilience, upgrade strategy

React Native · Expo · TypeScript · Native Modules · Offline Storage · Navigation · App Security · Performance Profiling

I design systems under zero-trust assumptions, where sensitive data is protected by default and trust boundaries are explicit.

• Local encryption and secure storage models
• Sync protocols that avoid implicit trust in backend or transport
• Authentication flows (passkeys, recovery, device linking)
• Threat modeling aligned with product UX

Encrypted Storage · Zero-Trust Apps · Secure Sync · Privacy UX · Threat Modeling · Auth Boundaries

I treat performance as a first-class product feature, not a post-release fix.

• Instrumentation: startup (TTFF/TTI), render cost, thread utilization
• Tracing: event timelines, spans, bottleneck identification
• Benchmarking: reproducible tests for regressions
• Tooling: SDKs and dashboards to make performance visible

React Native Performance · SDK Design · Tracing · Render Metrics · Startup Time · Image Benchmarks

I build product-facing ML pipelines where imperfect data must still produce usable outcomes.

• OCR pipelines with preprocessing + normalization
• Structured extraction and confidence scoring
• Human-in-the-loop review workflows
• Dataset evaluation and iteration tooling

OCR · Document Intelligence · Image Processing · Python · Pandas · scikit-learn · ML Pipelines

I build backend systems that support mobile products cleanly and predictably.

• Typed APIs and relational data modeling
• Sync-aware backend design (conflicts, revisions, auditability)
• Background jobs and operational workflows
• Containerized deployment and service orchestration

Fastify · Node.js · Prisma · Postgres · Docker · REST APIs · Background Jobs · CI/CD

Operational control surface for jobs, retries, and orchestration

⏱ Scheduled jobs • 🔁 Retries • 📊 Observability

🔗 Repo • 🎬 Demo 📲 Releases

React Native benchmark for image compression performance

📉 Compression • ⏱ Runtime • 🧠 Memory profiling

🔗 Repo • 🎬 Demo 📲 Releases