Software Engineer focused on architecting and building scalable backend systems, distributed architectures, and production infrastructure.
Experienced in building high-throughput systems, including inference pipelines processing 10k+ daily evaluations and backend services supporting 10k+ DAU with zero-downtime deployment across modern cloud environments.
Languages: Go, Python, TypeScript, SQL
Infrastructure: Kubernetes, Docker, Terraform, AWS, GCP
Data Systems: PostgreSQL, MySQL, Redis, MongoDB, Kafka, RabbitMQ
Backend: Distributed Systems, Microservices, Event-Driven Architecture, REST APIs, WebSockets, Async Processing, Idempotency, Fault Tolerance
Observability & CI/CD: Prometheus, Grafana, GitHub Actions, Jenkins
Production-grade learning and recruitment platform serving 5,000+ users across distributed services.
Key Highlight Architected backend systems for recruiter matching, learning workflows, payment orchestration, and distributed service communication.
Key Challenge Solved Designed horizontally scalable microservices infrastructure with fault isolation, distributed caching, and resilient deployment workflows for high-throughput workloads.
Technologies: Node.js, TypeScript, Microservices, PostgreSQL, Redis, Docker, Kubernetes, AWS (EC2, S3, RDS), Stripe, Paystack, CI/CD (GitHub Actions)
Talent recruitment and internship matching platform focused on scalable application processing.
Key Highlight Led backend engineering and migration from monolithic architecture toward distributed backend services.
Key Challenge Solved Reduced API latency through optimized PostgreSQL indexing and Redis caching while implementing idempotent payment workflows for reliable distributed transaction processing.
Technologies: Node.js, TypeScript, Microservices, PostgreSQL, Redis, Docker, Kubernetes, AWS (EC2, S3, RDS), Stripe, Paystack, CI/CD (GitHub Actions)
Real-time financial analytics and AI-assisted advisory system.
Key Highlight Built concurrent transaction-processing pipelines with asynchronous AI-powered financial analysis workflows.
Key Challenge Solved Engineered fault-tolerant processing architecture with idempotency guarantees to maintain consistency across concurrent financial operations and recommendation pipelines.
Technologies: Node.js, TypeScript, PostgreSQL, Redis, Google Gemini AI, GitHub Actions, Vercel
Real-time multilingual language processing and speech synthesis platform.
Key Highlight Built real-time language detection and speech synthesis workflows supporting multilingual and symbolic text processing.
Key Challenge Solved Optimized request throughput and inference latency using caching strategies and worker-based concurrent processing pipelines.
Technologies: Node.js, TypeScript, Redis, REST APIs, Speech Synthesis
Distributed event reconciliation engine for asynchronous systems.
Key Highlight Built distributed reconciliation workflows for resolving inconsistent state across concurrent event streams.
Key Challenge Solved Implemented consistency validation, conflict resolution logic, and synchronization mechanisms for eventual consistency scenarios.
Technologies: TypeScript, Node.js, Distributed Systems, Event-Driven Architecture
High-performance task management engine written in Go.
Key Highlight Built a zero-dependency CLI task engine focused on reliability, execution speed, and lightweight system-level operations.
Key Challenge Solved Implemented atomic file I/O operations and structured persistence workflows to guarantee consistency and prevent data corruption.
Technologies: Go, Systems Programming, Atomic I/O, GitHub Actions
"Reliable systems are engineered intentionally — scalability, fault tolerance, and resilience are architectural decisions."