Wayne Kuo

Wayne Kuo

$50/hr
I am a Full Stack Developer with over 7 years of experience in Front End and Back End Development.
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
29 years old
Location:
Orlando, Fl, United States
Experience:
7 years
WAYNE TSAO-WEN KUO Full Stack Developer +1-(350)- - https://www.linkedin.com/in/wayne-li-40 Orlando, Florida Summary Senior Go + React Developer with over 7 years of professional experience building highly performant, scalable, and maintainable web applications across industries including cloud infrastructure, gaming, ecommerce, and developer tools. Specialized in developing concurrent backend services in Go (Golang) and building rich, interactive frontends using React and Next.js. Expert in designing microservice architectures, RESTful and gRPC APIs, real-time data pipelines, and frontend systems driven by telemetry and event-based architecture. Skilled in optimizing both backend latency and frontend performance (through lazy loading, hydration tuning, and asset prioritization). Demonstrated success leading cross-functional teams, mentoring developers, and delivering end-to-end features — from schema design to browser interactivity. Passionate about developer velocity, clean architecture, and creating seamless integrations between frontend UX and backend intelligence. Deployed and maintained systems in production using Docker, AWS, GitHub Actions, and modern observability stacks. Work History Google LLC Mountain View, CA Full Stack Developer 07/2020 - 07/2025 • • • • • • • Spearheaded the design and implementation of telemetry pipelines in Go that processed live session data, user interactions, and performance events across browser clients for over 5 million active users. Built fault-tolerant Go microservices using goroutines, Redis, and PostgreSQL for serving feature flags, asset priority queues, and personalized game experiences. Designed frontend behavior-driven systems using React, Next.js, and TypeScript — implementing hydration-aware preloading based on backend signal ingestion. Collaborated an engineering initiative to decouple frontend and backend release cycles through shared contracts and API versioning, improving development velocity and team autonomy. Reduced initial page load time by coordinating backend session prediction models with frontend lazy rendering. Created a real-time diagnostic dashboard using React + Tailwind that visualized system health metrics, load stats, and live errors for debugging game performance at scale. Introduced structured logging and Prometheus-compatible metrics into Go services for deeper observability across production environments. Bloomberg LP Software Engineer Intern • • • • Built an internal developer tooling CLI in Go and Python, focused on static analysis, project hygiene, and codebase reporting across backend repos. Designed a microservice in Go that collected CLI output, validated security patterns, and generated structured JSON logs stored in a SQL database. Integrated this tooling into existing CI/CD pipelines (Jenkins, Docker) to allow automated, inline code review validation for teams managing financial data pipelines. Collaborated with DevOps and security teams to enforce rulesets that aligned with Bloomberg’s corporate compliance and deployment standards. Alibaba Group Software Engineer Intern • • • • • New York, NY 06/2019 - 08/2019 Hangzhou, China 05/2018 - 08/2018 Built high-throughput backend services in Go and Java to connect ecommerce platforms (Tmall, Lazada, Hema Fresh) via a unified real-time data ingestion layer. Designed concurrent data normalization pipelines with goroutines and buffered channels, handling bursts exceeding 1M+ transactions per second. Partnered with frontend teams to define GraphQL-like REST interfaces, optimizing for partial fetches and low-latency delivery in React dashboards. Built real-time dashboards in React for business operations to monitor stock levels, flash sale metrics, and product availability in a single UI. Reduced data rendering time by shaping backend responses specifically for React reconciliation logic and reducing frontend parsing overhead. Education Berkeley, CA University of California at Berkeley Bachelor of Arts in Computer Science | GPA: 3.81 / 4.0 • 08/2016 - 05/2020 Honors: Eta Kappa Nu (HKN), Mu Chapter – Top 25% of EECS students. Projects Google LLC Web Telemetry Optimization Engine 06/2024 Scalable Web Platform • • • • • Architected a real-time telemetry system to track client-side game performance and page loading behavior, improving personalized delivery for millions of users. Built Go-based REST and WebSocket services to capture session metadata such as load time, interaction latency, and bounce triggers. Collaborated a React + Next.js frontend that used telemetry signals to dynamically adjust asset preloading, using IntersectionObserver, React context, and suspense boundaries to delay low-priority resources. Integrated a priority model with backend scoring logic (implemented in Go), which classified sessions based on real-time conditions. Deployed using Docker and GitHub Actions with automated Canary deployment and Sentry alerting for frontend regressions. Bloomberg LP Developer Productivity CLI Tool 08/2019 Backend-driven command-line tool • • • • Built a Go-based CLI to run static analysis, enforce code quality rules, and generate formatted reports used in Bloomberg’s internal CI/CD system. Implemented modular plugins to support multiple languages (Java, Python), each with its own rulesets and analysis engines. CLI included a lightweight REST API in Go to sync results to a database, enabling historical auditability and team-level dashboards. Reduced manual code review time by 25% and caught over 1800 violations automatically during the internship period. Unified Cross-Platform Ecommerce Dashboard Alibaba Group 08/2018 Cross-Platform Real-Time Dashboard • • • • Designed and implemented a real-time analytics dashboard to unify metrics across Alibaba’s ecommerce properties. Built highly concurrent Go microservices to process product inventory, order volume, and live traffic metrics with Kafka ingestion and Redis caching. Implemented a React-based frontend with auto-refreshing UI components for visualizing KPIs in near real-time, using React Query and WebSocket sync. Reduced system API response times batching DB queries and reworking API payload structures. Skills Languages: Go TypeScript JavaScript(ES6+) Python SQL Java Frontend: React Next.js Redux Tailwind CSS TypeScript MUI Backend: Golang Node.js Redis Databases: PostgreSQL MySQL Redis MongoDB DevOps and Cloud: AWS Lambda Docker GitHub Actions GitLab CI/CD Kubernetes Tools: Git GitHub Postman Figma Slack Jira Architecture: RESTful API Design Real-Time Systems CI/CD Pipelines Microservices Languages English Native Chinese Proficient
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