I'm a Node.js Full Stack Engineer with over 7 years of experience. I've designed, built, and fine-tuned large distributed systems and apps packed with features. I'm really good with Node.js, TypeScript, and today's JavaScript frameworks. I also have a ton of experience with cloud microservices, real-time APIs, and data architectures that support tens of users. I'm great at backend, frontend, and DevOps. People know me as a tech mentor. I have experience with integration of AI and have a solid track record of delivering projects on time using Agile across global teams. I've led end-to-end work on scalable backend services, automated cloud-native deployments on AWS and GCP, and set up robust CI/CD pipelines. I integrated AI-powered anomaly detection for storage usage by collaborating with data scientists and connecting Node.js services to Python-based ML inference layers. I enjoy collaborating with cross-functional teams in agile environments to take features from concept to production.

I'm a Node.js Full Stack Engineer with over 7 years of experience. I've designed, built, and fine-tuned large distributed systems and apps packed with features. I'm really good with Node.js, TypeScript, and today's JavaScript frameworks. I also have a ton of experience with cloud microservices, real-time APIs, and data architectures that support tens of users. I'm great at backend, frontend, and DevOps. People know me as a tech mentor. I have experience with integration of AI and have a solid track record of delivering projects on time using Agile across global teams. I've led end-to-end work on scalable backend services, automated cloud-native deployments on AWS and GCP, and set up robust CI/CD pipelines. I integrated AI-powered anomaly detection for storage usage by collaborating with data scientists and connecting Node.js services to Python-based ML inference layers. I enjoy collaborating with cross-functional teams in agile environments to take features from concept to production.

Available to hire

I’m a Node.js Full Stack Engineer with over 7 years of experience. I’ve designed, built, and fine-tuned large distributed systems and apps packed with features. I’m really good with Node.js, TypeScript, and today’s JavaScript frameworks. I also have a ton of experience with cloud microservices, real-time APIs, and data architectures that support tens of users. I’m great at backend, frontend, and DevOps. People know me as a tech mentor. I have experience with integration of AI and have a solid track record of delivering projects on time using Agile across global teams.

I’ve led end-to-end work on scalable backend services, automated cloud-native deployments on AWS and GCP, and set up robust CI/CD pipelines. I integrated AI-powered anomaly detection for storage usage by collaborating with data scientists and connecting Node.js services to Python-based ML inference layers. I enjoy collaborating with cross-functional teams in agile environments to take features from concept to production.

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Experience Level

Expert
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Expert
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Intermediate
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Language

English
Fluent

Work Experience

Software Engineer at Meta
June 1, 2018 - Present
Software Engineer at Meta leading architecture and implementation of core backend services in Node.js (NestJS, Express.js) with TypeScript to enable scalable storage and retrieval of images and videos for billions of users. Built highly concurrent microservices using Fastify and BullMQ for event-driven ingestion, and designed robust RESTful and GraphQL APIs (Apollo Server) to optimize data access for analytics and Snowflake-backed reporting. Managed scalable ETL pipelines across MongoDB, Cassandra, ClickHouse, PostgreSQL, and Snowflake for real-time and batch analytics. Automated cloud-native deployments with Docker, Kubernetes, Helm, and Terraform on AWS and GCP, and established CI/CD pipelines with GitHub Actions, Jenkins, and Bitbucket Pipelines. Implemented distributed tracing, monitoring, and alerting with Prometheus, Jaeger, and Consul. Enforced security protocols with OAuth2, JWT, and encryption at rest using AWS KMS and Azure Key Vault. Applied Domain-Driven Design (DDD) and CQ
Software Engineer Intern at Meta
May 1, 2017 - August 1, 2017
Meta Software Engineer Intern contributing to distributed logging and monitoring infrastructure, improving observability for media services. Helped optimize media processing pipelines by integrating Go and Node.js microservices for high-throughput workloads. Assisted in migrating APIs to containerized Node.js services and automated builds and deployments with Jenkins and Docker.

Education

Master’s degree, Computer Science at University of Massachusetts Amherst
January 1, 2017 - January 1, 2018
Bachelor of Engineering, Communications Engineering at Beijing University of Posts and Telecommunications
January 1, 2012 - January 1, 2016
Master's Degree at University of Massachusetts Amherst
January 1, 2017 - December 31, 2018
Bachelor of Engineering at Beijing University of Posts and Telecommunications
January 1, 2012 - December 31, 2016
Master's degree, Computer Science at University of Massachusetts Amherst
January 1, 2017 - December 31, 2018
Bachelor of Engineering, Communications Engineering at Beijing University of Posts and Telecommunications
January 1, 2012 - December 31, 2016

Qualifications

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Industry Experience

Software & Internet, Media & Entertainment, Professional Services, Computers & Electronics, Telecommunications