Hi! I’m Richard — a backend engineer focused on high‑traffic systems, performance, and clean architecture. I currently work at Mercado Libre (Mercado Pago) building reliable services and data/observability pipelines.

I enjoy shipping pragmatic solutions with strong engineering fundamentals (DDD, Hexagonal, testing, tracing/metrics/logs) and mentoring devs through hands‑on examples.

• Delivered +30% performance gains and increased homologable TPV through automation, distributed queues, and endpoint redesign.
• Built an end‑to‑end monitoring & metrics capability for large‑merchant integrations (+40 metrics with Datadog + BigQuery) and hundreds of monthly reports automated.

• Enterprise internal projects: modernizing services, improving reliability/observability, and evolving data/alerting pipelines.
• Modular platform for freelancers (side project): contracts, time tracking, invoices, proposals, and parafiscal automations.
• Optimization of existing systems: profiling, caching, SQL tuning, and resilience patterns (rate limiting, retries, circuit breakers).

If any of this resonates, I’m happy to chat about collaboration or feedback.

Languages: Go (primary), TypeScript/Node.js, Java Cloud & Infra: GCP, AWS, Cloudflare, Docker, GitHub Actions, Jenkins Data & Messaging: BigQuery, PostgreSQL/MySQL, MongoDB, RabbitMQ Observability: Datadog, OpenTelemetry, tracing/metrics/logging Architecture: DDD, Hexagonal/Clean Architecture, CI/CD, testing strategies

• Advanced data structures & algorithms (graphs, trees, DP, complexity & trade‑offs).
• Observability end‑to‑end (OpenTelemetry, tracing/metrics/logging, SLOs, alert design).
• Performance engineering & profiling (pprof, flamegraphs, benchmarking methodologies).
• Experimentation: regression tests, A/B testing, metrics hygiene.
• System design at scale (idempotency, sagas/outbox, retries, rate limiting, circuit breaking).

• Build and operate high‑traffic, low‑latency services with excellent reliability.
• Keep growing in FinTech and platform engineering; explore high‑scale streaming.
• Lead by example: mentoring, sharing learnings, and improving engineering culture.
• Ship impactful open‑source (Go service templates, http client/resilience, O11y kits).
• Mature my side projects into sustainable SaaS products with real customers.
• Long‑term: contribute at the level of staff+ engineer and beyond.

• Measure what matters (SLOs, golden signals, profiling before optimizing).
• Simple > clever; make it observable, testable, and easy to operate.
• Clear boundaries (ports/adapters), idempotency, and graceful degradation.

• 📨 Email: [email protected]
• 💼 LinkedIn: /in/richard-lion
• 🧑‍💻 GitHub: @SpentRook

_{Previously: community leadership as GitHub Campus Expert; currently mentoring and exploring high‑scale streaming/FinTech challenges.}