Senior Full-Stack Software Engineer with 7+ years of experience building scalable, cloud-native distributed systems. Strong backend expertise in Node.js and Python with hands-on experience across frontend, DevOps, and high-availability architecture. Proven success delivering production systems on Google Cloud Platform and AWS, supporting millions of users and high-throughput workloads. Experienced in microservices, event-driven systems, and performance optimization in large scale environments.

Senior Full-Stack Software Engineer with 7+ years of experience building scalable, cloud-native distributed systems. Strong backend expertise in Node.js and Python with hands-on experience across frontend, DevOps, and high-availability architecture. Proven success delivering production systems on Google Cloud Platform and AWS, supporting millions of users and high-throughput workloads. Experienced in microservices, event-driven systems, and performance optimization in large scale environments.

Available to hire

Senior Full-Stack Software Engineer with 7+ years of experience building scalable, cloud-native distributed systems. Strong
backend expertise in Node.js and Python with hands-on experience across frontend, DevOps, and high-availability
architecture. Proven success delivering production systems on Google Cloud Platform and AWS, supporting millions of users
and high-throughput workloads. Experienced in microservices, event-driven systems, and performance optimization in large
scale environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

Senior Software Engineer at Google
January 1, 2022 - December 1, 2025
Designed and scaled distributed backend services in Node.js and Python for high-traffic productivity platforms; improved throughput by 150% and reduced latency from 15s to 3s via asynchronous processing and improved parallelization. Built modular microservices on Kubernetes with service isolation and 99.95% uptime. Refactored synchronous workflows into event-driven pipelines, improving fault tolerance. Integrated Gemini-powered LLM capabilities into NotebookLM workflows. Optimized REST and GraphQL APIs with DB query tuning, indexing, and connection pooling, lowering p95 latency by 45%. Implemented Redis caching to reduce DB load by 40% and improved response consistency. Designed background job orchestration and improved PostgreSQL performance. Architected scalable data pipelines using Cloud Storage, Cloud Functions, Pub/Sub, and Compute Engine, achieving latency reductions and cost savings. Built automated CI/CD pipelines and reliability validation with load testing.
Software Engineer at Amazon
December 1, 2019 - December 1, 2021
Developed scalable backend microservices in Node.js for high-traffic advertising systems; reduced latency by 40% and improved availability to 99.9%. Built distributed services on ECS, EC2, and Lambda with DynamoDB and RDS; used Redis for caching. Implemented event-driven workflows with SQS and SNS; built real-time data pipelines using Python, Lambda, and Kinesis. Optimized infrastructure with Terraform and CloudFormation, achieving substantial annual cost savings. Automated CI/CD with CodePipeline and CodeBuild; enhanced observability with CloudWatch and distributed tracing.
Full Stack Engineer at IBM
August 1, 2018 - November 1, 2019
Developed backend APIs using Java and Node.js for IBM Watson and cloud services; reduced client onboarding time through secure API integrations. Implemented asynchronous messaging with Apache Kafka; containerized applications with Docker and deployed to Kubernetes; increased automated test coverage to 85%+.

Education

Bachelor's degree in Computer Science at Princeton University
September 1, 2014 - June 1, 2018
Bachelor's at Princeton University
September 1, 2014 - June 1, 2018

Qualifications

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Industry Experience

Software & Internet, Professional Services