Designing and developing scalable, resilient backend infrastructure for a high-traffic hiring platform connecting millions of job seekers with recruiters across Europe.

Built distributed microservices processing millions of job matches and candidate interactions daily.

Designed event-driven workflows using AWS Step Functions and Lambda for asynchronous job processing and notifications

Implemented real-time data streaming pipelines with Kafka Streams for candidate matching and analytics

Optimized database architecture using PostgreSQL and DynamoDB for high-read workloads with sub-50ms response times

Developed caching strategies with Redis reducing database load by 60% and improving API performance

Engineered fault-tolerant services with automated retry mechanisms and graceful degradation

Built scalable microservices powering marketing analytics insights that helped enterprise clients maximize ROAS and optimize campaign performance across multiple channels.

Built and deployed multiple RESTful web services using Java and Spring Boot following microservices design patterns

Designed service-to-service communication patterns ensuring loose coupling and independent scalability

Collaborated with cross-functional teams to gather requirements and architect integration strategies across distributed services

Implemented API contracts and service orchestration enabling seamless inter-service communication

Contributed to establishing microservices best practices including service discovery, health checks, and monitoring

Software Engineer | Toyota GSPIMS (Global Supply & Production Infrastructure Management System)

Developed enterprise web services for Toyota's global automobile manufacturing infrastructure, supporting production monitoring, risk analysis, and prototype-to-mass-production workflows for automotive parts across international facilities.

Built critical REST APIs using Java and Spring Boot for real-time production monitoring and risk assessment across Toyota's manufacturing plants

Designed services enabling supply chain visibility and production optimization from prototype stage to mass production readiness

Implemented business logic for parts tracking, quality control workflows, and production bottleneck identification

Developed fault-tolerant APIs handling high-volume requests from multiple manufacturing facilities globally

Collaborated with manufacturing teams to translate complex production requirements into scalable technical solutions

Optimized service performance reducing API response times and improving system reliability for mission-critical production operations