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Golang Developers in London

Architected full-stack solutions using Go for high-traffic web applications, ensuring seamless integration between backend services and front-end interfaces. Led database optimization projects, improving query efficiency in SQL-driven systems.

• Developed complex UI components with React for dynamic dashboards
• Migrated legacy PHP applications to scalable Node.js services
• Enhanced performance of SQL databases through advanced indexing

Expert in developing VoIP solutions with SIP and RTP protocols in C/C++. Engineered scalable communication platforms supporting thousands of concurrent connections. Integrated Golang for backend services enhancing protocol handling efficiency.

• Optimized RTP stack for low-latency audio streaming
• Designed SIP-based call routing algorithms
• Enhanced VoIP security features with encryption protocols

Developed scalable backend architectures integrating machine learning models for predictive analytics. Spearheaded Web3 development initiatives focusing on decentralized applications and blockchain technology.

• Optimized backend systems for high-load environments
• Implemented CI/CD pipelines for rapid deployment
• Engineered systems programming solutions for performance-critical applications

Leads Go systems processing 5–6 billion telematics points and generating 6–7 million safety events daily through real-time ingestion and geospatial computation. Redesigned speeding detection around confidence-based scoring and added multimodal verification using GPS trajectories, contextual histograms, and language-model-assisted explanations.

• Customer-configurable precision-recall trade-offs
• High-throughput data-platform architecture
• AWS distributed-service operation
• Security-platform engineering

Engineered Go and gRPC microservices with Kafka-backed distributed pipelines supporting live workloads of up to 100,000 concurrent users. Refactored C# monoliths into cloud-native services across AWS, GCP, and Azure, with emphasis on reliability and observability.

• RabbitMQ event processing
• Redis-backed high-frequency data flows
• Terraform Kubernetes infrastructure
• Datadog, Prometheus, Grafana, and Jaeger monitoring

Built high-throughput Go services for financial, payment, and social-platform workloads on GCP. Developed real-time abuse detection using Kafka, Go, and Python, plus vector-based photo similarity search on AlloyDB for trust-and-safety moderation.

• Used Bigtable for low-latency key-value access
• Deployed infrastructure through Terraform-managed GCP resources
• Implemented analytics pipelines with BigQuery and dbt
• Designed reliability practices for Cloud Run services