Building Scalable APIs in Go
Best practices for designing high-performance APIs with Go's standard library and popular frameworks.
8+ years of experience building fintech, payment, distributed, and backend systems across Go, PHP/Laravel, Node.js, AWS, MySQL, RabbitMQ, and microservices.
8+ years of production experience building, optimizing, and operating critical fintech and payment systems.
As an independent Software Consultant, I specialize in architecting backend microservices, optimizing payment processing reliability, and tackling complex production bottlenecks. Over 8+ years of engineering experience, I design fault-tolerant event-driven workflows, profile service memory leaks, and streamline transaction systems.
Hands-on team leadership, sprint planning, and breaking down complex specs into actionable engineering tasks.
Architecting resilient microservices, high-throughput payment pipelines, and scalable database schemas.
Enforcing strict code quality, security patterns, test coverage, and clear technical documentation.
Guiding junior engineers, conducting technical onboarding, and assisting QA with automated testing strategies.
Rapid incident response, live debugging, memory leak analysis, and high-availability operational support.
Optimizing service memory allocations, reducing CPU overhead, and building circuit-breaker POCs.
Engineering challenges, system architecture decisions, and real production outcomes.
Production Memory & Resource Profiling
Fault-Tolerant Payment Architecture
Revamping Core Production Subsystems
Vendor API & Testing Infrastructure
Bank UATs & Microservice Design
MVP Execution & Technical Stability
Battle-tested production technologies categorized by engineering purpose.
Conceptual system diagrams and core engineering principles for building reliable distributed software.
Always rely on empirical production profile data and metrics to isolate genuine bottlenecks before altering code.
Payment & transaction systems must gracefully handle third-party dependency outages, network drops, and timeouts.
Production incidents are opportunities to implement systemic architectural fixes rather than swallowing exceptions.
Introduce distributed complexity only when it solves a real problem; favor clean, maintainable microservice boundaries.
Thorough code reviews, clear documentation, and proactive mentoring elevate the entire team beyond individual contributions.
How I drive technical alignment, mentor engineering teams, and maintain production standards.
System design, microservice boundary definition, and architectural planning for high-throughput backend services.
Reviewing implementation quality, enforcing security & performance standards, and setting engineering guidelines.
Helping junior developers and QA testers understand complex system behavior and solve non-trivial bugs.
Hands-on production investigation, memory profiling, live incident response, and operational support.
Collaborating with product management, external bank integration teams, and vendors on technical decisions.
Guiding project task planning, establishing code quality standards, refactoring legacy platforms, and supporting technical compliance.
Thoughts on Go, PHP, architecture, and building software that lasts.
Open to software consulting engagements, technical advisory, system architecture reviews, and high-impact distributed systems projects.