Portfolio

Senior Software Engineer

Mobile, Backend & Platform Architecture

  • Architect scalable systems that reduce operational risk while enabling product velocity
  • 5+ years of professional experience shipping mobile and backend platforms from zero to scale
  • Deep mobile expertise: React Native authority, iOS/Android publishing, offline-first systems
  • Bridge technical execution and business objectives through clear communication and trade-off analysis

Technical Strategy

Engineering leadership requires aligning technical execution with business outcomes, managing risk through architecture, and building systems that scale with minimal operational overhead.

Business-aligned architecture

Technical decisions serve company objectives. Architecture choices reduce time-to-market while maintaining long-term flexibility and reducing technical debt.

Risk mitigation through design

Proactive risk management: graceful degradation, comprehensive monitoring, automated incident response, and rollback strategies built into every system.

Scale through operational discipline

Reliability at scale requires automation, observability, and team ownership. Clear SLAs, performance budgets, and runbooks prevent firefighting culture.

Pragmatic over perfect

Ship strategically. Technical excellence balanced against delivery timelines, team capacity, and market constraints. Perfectionism delays value.

Technical Capabilities

Full-stack expertise from mobile runtime to data layer. Technology choices informed by team structure, operational constraints, and business timelines.

Mobile Engineering

React Native expert with production experience in offline-first architecture, cross-platform consistency, and iOS/Android publishing governance.

Frontend Architecture

Modern web platforms with React/Next.js. SSR, ISR, and SEO optimization. Component-driven design systems that scale across teams.

Backend & API Design

Node.js and .NET Core at scale. RESTful and GraphQL API design, authentication strategies, rate limiting, and distributed system patterns.

Data Strategy

Multi-database architectures: relational (PostgreSQL), document (MongoDB), key-value (DynamoDB). Data modeling, consistency trade-offs, and performance optimization.

Architecture Case Studies

Strategic system design addressing business risk, operational constraints, and scalability requirements. Each case demonstrates ownership from problem analysis through measurable production outcomes.

Offline-first mobile architecture for emerging markets

Problem & Risk

Consumer app required reliable operation in low-connectivity environments. Traditional sync caused data conflicts and user frustration. Risk: customer churn in key growth markets.

Architecture Decision

Event sourcing with optimistic UI updates and conflict-free replicated data types (CRDTs) for multi-device sync. Local-first architecture with IndexedDB persistence. Queue-based sync with exponential backoff and automatic conflict resolution.

Business Impact

85% reduction in sync errors. 40% increase in retention in target markets. App functions fully offline with automatic reconciliation. Positioned company for international expansion without infrastructure overhead.

Multi-database strategy to scale e-commerce platform

Problem & Risk

Monolithic PostgreSQL became bottleneck at scale. Analytics queries degraded checkout performance. Risk: revenue loss during peak traffic, customer experience degradation.

Architecture Decision

Polyglot persistence with domain-driven design. PostgreSQL for transactions (orders, payments), DynamoDB for session state, MongoDB for product catalog. Event-driven sync via Kafka for eventual consistency. Read replicas isolated from write path.

Business Impact

4x read query performance improvement. 99.99% uptime during Black Friday. Analytics moved to dedicated cluster with zero checkout impact. Database costs reduced 30% through optimized instance sizing.

Automated release governance for dual-platform mobile

Problem & Risk

Manual iOS/Android releases took 3 days per platform. Frequent compliance rejections caused missed launch windows. No rollback strategy created extended outages. Risk: market timing failures and revenue loss.

Architecture Decision

Custom CLI tooling for metadata management, screenshot generation, and compliance validation. Fastlane-based pipelines with staged rollouts (5% → 25% → 100%). Feature flags enabling instant rollback without app store review delays.

Operational Excellence

Release time: 3 days → 4 hours. Zero compliance rejections in 18 months. Instant feature rollback prevented 3 production outages. Launch window reliability improved go-to-market execution.

Distributed tracing for microservices debugging

Problem & Risk

30+ microservices made production debugging nearly impossible. Mean time to resolution (MTTR) was 4+ hours. Customer-impacting incidents caused reputational damage. Risk: SLA violations and customer attrition.

Architecture Decision

OpenTelemetry instrumentation across all services with distributed tracing. Centralized logging with structured logs and correlation IDs. Service mesh (Istio) for traffic management, circuit breakers, and automatic retries. Real-time alerting with runbook automation.

Risk Reduction

MTTR: 4 hours → 20 minutes. Identified 12 critical performance bottlenecks in first month. P99 latency reduced 60%. SLA compliance improved from 95% to 99.5%. Engineering team could focus on features instead of firefighting.

Leadership & Ownership

Technical leadership means ownership of outcomes, not just outputs. Setting direction, managing risk, and ensuring engineering execution aligns with business strategy.

End-to-end ownership

Accountable for technical outcomes from architecture decisions through production deployment. Own system reliability, performance targets, and team execution against delivery timelines.

Technical direction

Set engineering standards, architectural patterns, and technology strategy. Mentor senior engineers on system design, trade-off analysis, and career progression. Build technical culture that values pragmatism and operational excellence.

Executive communication

Translate technical constraints into business language. Articulate architecture decisions, risk trade-offs, and resource requirements to founders and executives. Align engineering roadmap with company strategy.

Operations & Reliability

Reliability at scale requires operational discipline. Automated pipelines, proactive monitoring, and clear incident response processes reduce business risk and enable predictable delivery.

Release Engineering

Automated CI/CD pipelines with multi-stage environments. Infrastructure as code (Terraform, CloudFormation). Zero-downtime deployments with blue-green and canary strategies. Rollback automation triggered by error rate thresholds.

Observability & SLAs

Real-time monitoring with performance budgets and SLA tracking. Distributed tracing across microservices. Automated alerting with runbook integration. Metrics dashboards for executive visibility into system health.

Incident Management

Structured incident response with clear escalation paths. Automated runbooks reduce MTTR. Post-mortem process with blameless culture and actionable improvements. On-call rotation designed to prevent burnout.

Mobile Release Governance

Automated App Store/Play Store compliance validation. Staged rollouts with feature flags for instant rollback. Emergency hotfix process with <4 hour approval. Version deprecation strategy to manage technical debt.

Contact & Advisory

Available for CTO advisory, principal engineering roles, and complex system builds. Let's discuss how technical architecture can enable your business objectives.

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