I'm a Software Engineer with 4+ years of experience designing and scaling distributed systems and high-throughput backend platforms. I specialize in Java, Spring Boot, Node.js, Kafka, and AWS, with strong expertise in microservices, event-driven architectures, and real-time data processing. I have hands-on experience delivering low-latency, highly available production systems with 99.99% uptime and end-to-end latency under 300ms.\n\nI thrive in designing robust systems, CI/CD automation, observability, and cloud-native infrastructure using Docker, Kubernetes, and Terraform. I also build secure APIs, data-intensive applications, and AI-enabled solutions, with a focus on performance, fault tolerance, and scalable design.

I'm a Software Engineer with 4+ years of experience designing and scaling distributed systems and high-throughput backend platforms. I specialize in Java, Spring Boot, Node.js, Kafka, and AWS, with strong expertise in microservices, event-driven architectures, and real-time data processing. I have hands-on experience delivering low-latency, highly available production systems with 99.99% uptime and end-to-end latency under 300ms.\n\nI thrive in designing robust systems, CI/CD automation, observability, and cloud-native infrastructure using Docker, Kubernetes, and Terraform. I also build secure APIs, data-intensive applications, and AI-enabled solutions, with a focus on performance, fault tolerance, and scalable design.

Available to hire

I’m a Software Engineer with 4+ years of experience designing and scaling distributed systems and high-throughput backend platforms. I specialize in Java, Spring Boot, Node.js, Kafka, and AWS, with strong expertise in microservices, event-driven architectures, and real-time data processing. I have hands-on experience delivering low-latency, highly available production systems with 99.99% uptime and end-to-end latency under 300ms.\n\nI thrive in designing robust systems, CI/CD automation, observability, and cloud-native infrastructure using Docker, Kubernetes, and Terraform. I also build secure APIs, data-intensive applications, and AI-enabled solutions, with a focus on performance, fault tolerance, and scalable design.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Software Engineer at JPMorgan Chase & Co.
May 1, 2025 - Present
Engineered high-throughput payment routing engine using Java, Spring Boot, Kafka, and gRPC inter-service communication, processing 3M+ daily transactions with 99.99% uptime across global payment rails. Built event-driven microservices on AWS (Lambda, EC2, S3) enabling elastic scaling within 60 seconds and reducing infrastructure cost by 35% through serverless offloading during peak traffic. Developed a fault-tolerant persistence layer with PostgreSQL and MongoDB, implementing sharding, indexing, and replication for reliable data consistency during spikes. Formed a real-time React-based operational dashboard integrated with Prometheus metrics to visualize payment routing flows and system health, improving incident diagnosis. Implemented resiliency patterns including Redis caching, circuit breakers, rate limiting, and retries. Configured a real-time streaming pipeline with Apache Flink and Kafka handling 25K+ TPS with <300ms end-to-end latency. Automated multi-environment deployments wit
Software Engineer at Accenture
January 1, 2021 - December 31, 2023
Architected a Node.js microservices architecture for ecommerce order management, supporting 50K+ concurrent requests; implemented event-driven order processing with Kafka; migrated frontend from AngularJS to Angular (v6+). Built secure authentication with JWT, OAuth2, and RBAC; optimized MySQL with Redis caching; deployed containerized services on AWS with Kubernetes for auto-scaling during 3x traffic spikes; delivered CI/CD pipelines with Jenkins and GitHub Actions; implemented observability with Prometheus, Grafana, and centralized logging; ensured idempotent, fault-tolerant microservices for high-concurrency workflows.

Education

Master of Science in Computer Science at University at Albany, Albany
January 11, 2030 - June 1, 2026

Qualifications

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Industry Experience

Financial Services, Professional Services, Software & Internet, Other

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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