Senior Full Stack Engineer

Harry Zhang Senior Software Engineer

*****.*******@*****.*** Staten Island, New York, United State

PROFILE

Senior Software Engineer with expertise in Python, Django, Node.js, React, Next.js, TypeScript, GraphQL, REST APIs, AWS, Azure, Kubernetes, Docker, Elasticsearch, Stripe, and scalable web applications.

Skilled in building high-performance frontend UIs and backend services, optimizing eCommerce workflows, payment systems, and search functionality. Delivers measurable results through faster load times, higher conversions, and reliable, scalable systems. Experienced in serverless architectures, containerized deployments, and cloud infrastructure. EDUCATION

Syracuse University,

Bachelor of Science (B.S.), Computer Engineering

04/2010 – 10/2014

New York, United States

PROFESSIONAL EXPERIENCE

Zoom, Senior Software Engineer 09/2021 – 10/2025

Greater New York City Area

•Developed low-latency video and audio streaming solutions using WebRTC and adaptive streaming protocols, reducing global latency by 25% for tens of millions of daily users. Leveraged Python for backend media processing tasks to ensure seamless data transmission.

•Refactored high-volume APIs using NestJS, Node.js, Python, and React for registration, polling, and Q&A. Optimized caching with Redis and integrated CDNs, reducing bad requests by 40%.

•Transformed legacy monolithic workflows into asynchronous event-driven microservices using RabbitMQ, Redis Streams, and Kafka. Implemented Python backend services for complex event processing, ensuring smooth data flow during multi-region webinar events.

•Refined database operations across MongoDB and PostgreSQL, implementing schema normalization, indexing strategies, and aggregation pipelines. Developed Python scripts for automated database optimization, improving throughput by 60%.

•Architected backend microservices on AWS EKS with Kubernetes, supporting 50K+ concurrent users. Implemented Horizontal Pod Autoscaler (HPA), Cluster Autoscaler, and automated multi-region provisioning via Terraform.

•Automated deployment pipelines with Terraform and AWS Systems Manager, achieving zero- downtime deployments. Developed Python scripts for environment provisioning and continuous monitoring, reducing release cycles from hours to minutes.

•Guided optimizations in Zoom Meetings SDK for iOS, Android, and Web, improving rendering performance and reducing mobile CPU utilization by 30% through dynamic resource allocation.

•Integrated Datadog, Sentry, and Prometheus for real-time API monitoring. Built Python scripts to track performance bottlenecks and implement proactive alerting systems.

•Developed transformer-based models for AI-driven meeting summarization and action item extraction using Python and TensorFlow, reducing processing latency by 40% and deploying real- time inference pipelines on AWS SageMaker and Lambda.

•Built real-time transcription and keyword detection pipelines with Python and DeepSpeech, improving multilingual transcription accuracy and reducing processing latency by 50%.

•Integrated generative AI features into Zoom Workplace chat and whiteboard modules using Python- powered backend services and AWS Step Functions.

•Contributed to GPU-accelerated React + Canvas API + WebGL collaboration features in Zoom Webinar, achieving sub-50ms latency and stable 60Hz frame rates for 10K+ concurrent users.

•Led cross-functional code reviews, enforcing architectural standards, scalability principles, and security best practices. Mentored engineers and automated PR validation workflows with Python scripts.

FactSet, Senior Software Engineer 04/2017 – 09/2021 New York City Metropolitan Area

•Modernized high-performance web applications using Django REST Framework (Python) for backend logic and Next.js (React/TypeScript) for frontend, reducing API response times by 35% through query optimization and PostgreSQL indexing.

•Engineered a headless e-commerce platform with GraphQL, Next.js, and Django, achieving 40% faster page loads for 50K+ SKUs. Implemented Incremental Static Regeneration (ISR) for real-time product updates and CDN caching.

•Orchestrated AWS infrastructure (EC2, Lambda, RDS PostgreSQL) with Terraform-managed CI/CD pipelines using GitHub Actions, achieving 99.99% uptime and reducing deployment cycles from 2 hours to 12 minutes.

•Architected a CMS platform using Sanity.io with Next.js SSR/ISR, reducing publishing time by 50% and achieving 95+ Lighthouse scores through frontend optimizations.

•Implemented real-time collaboration via Sanity GROQ live queries and WebSocket subscriptions with sub-500ms multi-user sync latency. Deployed AWS Lambda@Edge, S3, and CloudFront for global scalability.

•Optimized CI/CD workflows with GitHub Actions and AWS CodePipeline, automating schema migrations and deployments, cutting release cycles from 1 hour to 8 minutes.

•Developed a cross-platform React Native application with Node.js backend, improving performance by 40% using Hermes engine and maintaining <0.1% crash rate.

•Built live data dashboards using Django Channels and Redis caching, supporting 5K+ concurrent users during peak loads.

•Enhanced GraphQL API layers to support complex B2B workflows with multi-vendor approval systems, tiered pricing rules via Vendure plugins, reducing manual order processing by 70%.

•Designed event-driven architectures with MSMQ, Kafka, and Medusa.js, ensuring 99.99% uptime for order processing during peak events.

JPMorgan Chase, Software Engineer 06/2013 – 05/2017 New York City Metropolitan Area

•Developed high-performance web applications using Django REST Framework for backend and Next.js (React/TypeScript) for frontend, reducing API response times by 35%.

•Built headless e-commerce solutions with GraphQL, Next.js, and Django, reducing page load times by 40% for 50K+ SKUs. Automated product updates with ISR and CDN caching.

•Managed AWS infrastructure with Terraform and CI/CD pipelines (GitHub Actions), achieving 99.99% uptime and reducing deployment cycles from 2 hours to 12 minutes.

•Designed CMS platforms with Sanity.io and Next.js SSR/ISR, cutting publishing time by 50% and maintaining 95+ Lighthouse scores.

•Enhanced GraphQL API layers to support multi-vendor approvals and tiered pricing rules, reducing manual workflows by 70%.

•Implemented Python scripts for database query optimization, automated deployment, and testing workflows.

SKILLS

Frontend

React, Next.js, TypeScript, Redux, Tailwind,

Material UI

Databases

PostgreSQL, MySQL, MongoDB, Redis,

Elasticsearch

Cloud/DevOps

AWS (EC2, Lambda, S3, ECS/EKS), Azure, Docker,

Kubernetes, Terraform, CI/CD, CloudFormation,

Pulumi

AI/ML

TensorFlow, PyTorch (for machine learning and

AI-powered features)

Backend

Python, Django, Node.js, NestJS, Express,

GraphQL, REST APIs

Mobile

React Native

E-Commerce

Shopify, Saleor, Vendure, MedusaJS, Headless

CMS (Payload, Sanity, Strapi)

Testing & Automation

Jest, Mocha, Cypress, JUnit, GitHub Actions,

Jenkins

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