Technical Specialties

We implement the three pillars of observability — metrics, structured logs and distributed tracing — with automatic instrumentation via OpenTelemetry and SLO dashboards in Grafana.

• OpenTelemetry for language-agnostic instrumentation
• RED metrics (Rate, Errors, Duration) in Prometheus
• Cross-service distributed tracing with Jaeger/Tempo
• Proactive alerts based on SLO, not static thresholds
• Log correlation with trace_id for rapid diagnosis

We design event-driven architectures with delivery, ordering and idempotency guarantees — eliminating temporal coupling between services and enabling independent scalability.

• Kafka for high-throughput events with strategic partitioning
• CQRS and Event Sourcing patterns where applicable
• Message idempotency and deduplication by design
• Dead Letter Queues and controlled reprocessing
• Outbox Pattern for consistency between database and messaging

Every critical system fails. The differentiator is how it fails — and how it recovers. We apply resilience patterns that isolate failures, prevent cascades and keep the system operational.

• Circuit Breaker with Resilience4j to isolate unstable dependencies
• Retry with exponential backoff and jitter
• Bulkhead to limit the impact of slowness in one service
• Timeout design as the first line of defense
• Strategic fallback: cache, degraded response or queue

We design infrastructures that scale horizontally, self-heal and are provisioned by code — eliminating manual configuration and making the environment reproducible and auditable.

• Kubernetes with HPA for metrics-based auto-scaling
• Parameterizable Helm charts for multiple environments
• Terraform for declarative infrastructure provisioning
• GitOps with ArgoCD or Flux for controlled deployment
• Health checks and readiness probes by default

We build CI/CD pipelines that not only deliver code, but verify security, quality and compliance at every commit — security is not a phase, it is a continuous property.

• GitHub Actions with automatic quality gates
• SAST (static analysis) with SonarQube or Semgrep
• Vulnerable dependency checking with Trivy/Snyk
• Mandatory integration tests before any deployment
• Secrets scanning to prevent credential leakage

We conduct offensive security assessments on Android apps with static, dynamic analysis and runtime instrumentation — mapping attack surfaces before a real attacker does.

• Static analysis with JADX and Ghidra: decompilation, secret detection and sensitive logic
• Dynamic instrumentation with Frida: SSL Pinning bypass, root check and Frida detection bypass
• APK unpacking and repackaging with APKTool for analysis and testing
• Native library (.so) analysis with Ghidra and vulnerability identification in C/C++ code
• Certification preparation: eMAPT, OSCP Mobile Track, OWASP MASTG

Financial apps are targets for static analysis, dynamic analysis and reverse engineering. We apply multiple protection layers that hinder analysis, block interception and detect compromised environments.

• SSL Pinning by public key (resistant to CA replacement)
• Runtime root and Magisk detection without library dependencies
• Anti-Frida: dynamic instrumentation detection
• Obfuscation with ProGuard/R8 and sensitive string protection
• Play Integrity API for device and app validation