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Full Experience

Resilient products, end to end

I move between discovery, architecture, engineering, and enablement to keep teams aligned and shipping. Below is a closer look at how that experience plays out across industries, platforms, and collaboration models.

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Years hands-on

7+

Full-stack builds across finance, telecom, SaaS, and civic products.

Launches led

40+

Web apps, APIs, automation suites, and developer platforms.

Team sizes

2-20

Have shipped as a founding engineer and inside global squads.

Career timeline

Roles & impact

Fullstack Engineer

G&S IT Group

May 2023 – Present

Owning the delivery of modular Angular frontends, Spring Boot and Node services, and CI/CD practices for enterprise clients.

  • Re-architected customer portal into domain-aligned micro frontends with shared component libraries.
  • Automated release pipelines (GitLab) with accessibility, contract, and integration testing gates.
  • Partnered with product to design KPI dashboards that surface usage patterns from REST/GraphQL APIs.

Software Developer

Turntabl

Sep 2022 – Jan 2023

Supported cross-functional pods delivering high-scale fintech services with Java/Spring backends.

  • Implemented event-driven ledger auditing that reduced reconciliation time by 35%.
  • Introduced observability playbooks and Grafana dashboards to shorten incident triage.
  • Mentored junior engineers on secure coding practices and pull-request rituals.

Software Engineer

Moolre

Jul 2020 – May 2022

Built customer experiences across Next.js, React Native, and FastAPI backends for a logistics platform.

  • Launched partner onboarding flows with Next.js hybrid rendering that improved SEO traffic by 52%.
  • Designed schema-first REST APIs with automated SDK generation for partner integrations.
  • Scaled background jobs with serverless workers powering document classification and payouts.

Delivery pillars

How I partner with teams

Discovery to definition

Facilitated workshops, stakeholder interviews, and backlog shaping sessions to translate research into actionable roadmaps.

Artifacts

  • Journey maps
  • Technical architecture notes
  • Delivery compass (KPIs + OKRs)

Delivery & enablement

Led iterative delivery with trunk-based Git, automated testing, and CI/CD guardrails. Paired often to unblock design and QA partners.

Artifacts

  • CI/CD pipelines
  • Playwright suites
  • Infrastructure-as-code modules

Adoption & feedback loops

Closed the loop with observability, user telemetry, and feature flag experimentation so teams understand impact post-launch.

Artifacts

  • Observability dashboards
  • Launch runbooks
  • Async Loom/Notion recaps

Collaboration

How teams experience working together

Team leadership

Acts as a tech lead or staff-level IC who unblocks teams, sets guardrails, and ensures documentation is living, not aspirational.

  • Async-first rituals
  • Pairing & coaching
  • Architecture office hours

Stakeholder alignment

Translates engineering trade-offs into business language so product, design, and leadership make confident calls together.

  • Impact briefs
  • Risk registers
  • Roadmap narratives

Continuous learning

Invests in mentorship, internal workshops, and community programs (AWS ML Scholar, secure coding) to raise the bar continually.

  • Internal tech talks
  • Playbook contributions
  • Scholarship & certification programs

Case studies

Impact snapshots

Enterprise billing modernization

AngularSpring BootREST APIsGitLab CI
  • Cut manual invoicing time from days to hours with workflow automation.
  • Achieved 99.95% uptime with blue/green deployments and health checks.
  • Reduced onboarding defects by 45% using shared component tokens.

Growth marketing platform

Next.jsReactTailwindFastAPI
  • SEO lift of 60% after migrating to hybrid rendering and structured data.
  • Design system parity with Figma + Storybook kept handoff iterations under 24 hours.
  • Edge caching delivered sub-second TTFB across three continents.

Intelligent operations toolkit

Node.jsMicroservicesNotion + JiraCloud Integrations
  • Automated 400+ weekly support tasks via workflow bots and serverless jobs.
  • Centralized knowledge base trimmed onboarding time from 4 weeks to 10 days.
  • Shared KPI dashboards surfaced real-time adoption trends for leadership.