Open to opportunities

Manish Aryal

@manisharyal

Message

I build scalable healthcare, payments, and real-time data platforms serving millions of users.

United States

Message

At Amazon One Medical, I lead nationwide telehealth platforms supporting 2M+ annual bookings, HIPAA-compliant patient-data services, and AI-assisted clinical documentation that reduced clinician charting time by 35%.

Previously, I built Amazon Pay authorization, tokenization, refund, and settlement systems processing millions of secure monthly payments, and at Twitter I scaled real-time Heron pipelines processing 5B+ daily events for ranking, personalization, and analytics. I enjoy leading teams, improving reliability, and shipping secure cloud-native systems across Java, Kotlin, AWS, Kafka, and React.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Development Engineer

Current

Amazon

Jan 2020 - Present (6 years 7 months)

Drove engineering strategy and execution for Amazon One Medical's digital care initiatives, with end-to-end ownership across telehealth platforms, infrastructure, and regulatory-compliant systems. Architected and led development of a nationwide telehealth scheduling and care-delivery platform, improving patient access to care by 40% and supporting 2M+ annual bookings.

Software Development Engineer - SDE II

Amazon

Apr 2016 - Jan 2020 (3 years 9 months)

Collaborated with product and payments infrastructure teams to design, build, and scale core components of the Amazon Pay platform, including transaction authorization, refunds, and PCI-compliant tokenization services. Engineered the core payment-authorization pipeline supporting millions of monthly transactions, achieving sub-100 ms p95 latency and 99.99% uptime.

Java Kotlin Python JavaScript React Spring Boot Express AWS API Gateway Lambda DynamoDB RDS SNS Step Functions KMS Cloudwatch Kafka Docker Kubernetes GitHub Actions OpenTelemetry Prometheus Grafana OIDC PCI DSS SCA 3DS

Senior Software Engineer

Twitter

Apr 2012 - Feb 2016 (3 years 10 months)

Collaborated with data infrastructure, platform, and ML teams to design, build, and scale real-time data processing pipelines on Heron, Twitter's distributed stream-processing engine. Designed and implemented real-time data pipelines processing 5B+ events per day with sub-50ms latency to power timeline ranking, personalization, and analytics products.