Hello, I'm Alp Emre Elmas
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I build scalable web applications, backend services, and distributed systems. I focus on turning complex problems into elegant, reliable solutions.
I am a Backend Software Engineer with 4+ years of experience building scalable web applications, backend services, and microservice-based systems. I work with event-driven architecture, message queues, caching, database performance, and observability in high-traffic environments.
I have built production systems across the Go, Node.js, Laravel, and Python ecosystems. I aim to design reliable, high-performance services and deepen my expertise in distributed systems.
Event-Driven Microservices
I design and build Kafka- and NATS-based event-driven architectures to decouple services and enable reliable data flows in high-traffic systems.
Real-Time, Low-Latency Systems
I leverage Go's concurrency model, WebSocket infrastructure, and Redis caching to build real-time data-processing pipelines and high-performance services.
Observability & Operational Reliability
I establish distributed tracing with OpenTelemetry, Grafana Alloy, and Grafana Tempo, alongside metrics and APM visibility in Grafana for effective incident investigation and proactive issue detection.
Data & Search Performance
I deliver scalable, low-latency data access in high-volume applications through PostgreSQL query optimization, Redis caching, and Elasticsearch indexing.
End-to-End Product Development
With React, Next.js, NestJS, and Laravel, I build sustainable web products from requirements discovery through deployment, prioritizing clean code and testable design.
Frontend
Backend
DevOps & Observability
Languages
- Architected a high-load, AI-powered microservices architecture for personalized content generation, including an intelligent pool system that increased user engagement.
- Developed a self-learning AI module in Go for high-traffic, WebSocket-based systems, enabling low-latency real-time data processing.
- Spearheaded the transition to event-driven architecture with Kafka and NATS, improving service decoupling and scalability.
- Implemented distributed tracing and observability using OpenTelemetry, Grafana Alloy, and Tempo.
- Led an intern group as Team Lead in the Staj42 program, supporting independent projects and delivering technical presentations.
- Contributed to a high-traffic, AI-powered microservices ecosystem with 15+ integrations, strengthening scalability and 24/7 availability.
- Improved system performance through robust queuing, Redis caching, Elasticsearch indexing, and PostgreSQL query optimization.
- Delivered new features while preserving backward compatibility across complex, interconnected services.
- Built a Grafana-based observability layer that helped shift the team from reactive debugging to proactive issue resolution.
- Designed and built a real-time AI analysis tool in Go, using its concurrency model to process high-throughput data streams.
- Spearheaded end-to-end development of scalable web applications using React, Next.js, and Laravel for diverse client requirements.
- Architected high-performance frontend systems that resolved complex state-management challenges and optimized server-side rendering workflows.
- Used lazy loading and caching strategies to efficiently render 500+ high-resolution images per page.
- Built responsive, mobile-first interfaces with Tailwind CSS and JavaScript, while providing technical consulting from ideation through deployment.
- Reduced latency in large-scale application states by optimizing SQL queries and core backend components.
Education
Community & Speaking
Monolith Studios
2026A corporate website for a premium digital-experience studio that brings together advanced technology and precise engineering.
Tailly
2026A product website showcasing the features and user experience of an AI-powered mobile app for pet care.