I am a Senior Full Stack Engineer with 8+ years of experience designing and delivering scalable, data-driven, and AI-powered platforms. I enjoy building high-performance systems and solving complex technical challenges. I specialize in Java (Spring Boot), C# (.NET Core), Python (Django), and TypeScript (React, Node.js), blending deep backend expertise with strong modern frontend skills. I architect microservices, streaming pipelines, and cloud-native solutions across AWS, Azure, and GCP, and I am passionate about applying AI to real-world applications.

Eric Yuan

I am a Senior Full Stack Engineer with 8+ years of experience designing and delivering scalable, data-driven, and AI-powered platforms. I enjoy building high-performance systems and solving complex technical challenges. I specialize in Java (Spring Boot), C# (.NET Core), Python (Django), and TypeScript (React, Node.js), blending deep backend expertise with strong modern frontend skills. I architect microservices, streaming pipelines, and cloud-native solutions across AWS, Azure, and GCP, and I am passionate about applying AI to real-world applications.

Available to hire

I am a Senior Full Stack Engineer with 8+ years of experience designing and delivering scalable, data-driven, and AI-powered platforms. I enjoy building high-performance systems and solving complex technical challenges.

I specialize in Java (Spring Boot), C# (.NET Core), Python (Django), and TypeScript (React, Node.js), blending deep backend expertise with strong modern frontend skills. I architect microservices, streaming pipelines, and cloud-native solutions across AWS, Azure, and GCP, and I am passionate about applying AI to real-world applications.

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Experience Level

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

Senior Full Stack Engineer at AppDrawn
August 1, 2023 - Present
Led end-to-end development of an AI-powered analytics platform built with Java (Spring Boot), Python, and React for enterprise clients. Implemented event-driven microservices on AWS (ECS, Lambda, RDS) with Terraform and GitHub Actions, achieving 99.99% uptime and comprehensive observability via Datadog. Built AI-based data extraction and text parsing pipelines using Python, OpenAI API, and FastAPI, automating 80% of manual invoice reviews. Architected a real-time data synchronization layer with Kafka, Redis Streams, and WebSockets, reducing latency by 60%. Containerized and scaled backend workloads with Docker + Kubernetes, driving a 35% cost reduction. Strengthened API security with OAuth2, JWT, and RBAC. Collaborated with frontend teams to create interactive dashboards in React + TypeScript for 200k+ monthly users. Conducted regular code reviews and mentoring to raise engineering standards.
Senior Backend Engineer at Devlane
July 1, 2023 - October 6, 2025
Spearheaded development of a geospatial intelligence system using Java (Spring Boot) and Python (FastAPI) to process and visualize live traffic data for urban mobility clients. Designed and maintained Kafka-based streaming pipelines to process millions of telemetry events daily with sub-200ms latency. Integrated AI anomaly detection modules into microservices for predictive congestion forecasting, leveraging TensorFlow and Scikit-learn. Deployed CI/CD workflows using Jenkins + GitHub Actions, automating blue/green deployments across staging and production. Re-architected REST APIs to GraphQL for flexible data querying and reduced payload sizes by 30%. Optimized PostgreSQL performance through schema redesign, caching with Redis, and partitioning strategies for datasets exceeding 100M rows. Established monitoring and alerting with Prometheus, Grafana, and Loki, improving incident response efficiency by 25%. Collaborated closely with data scientists, ensuring smooth integration of analyti
Backend Developer at Code Runners
January 1, 2021 - October 6, 2025
Developed a multi-tenant ad intelligence dashboard using Spring Boot (Java) and Node.js, supporting integration with Google Ads, Facebook APIs, and Salesforce CRM. Migrated legacy monolith into modular microservices containerized with Docker and orchestrated via Kubernetes, improving scalability and release cadence. Implemented real-time analytics ingestion using Kafka, PostgreSQL, and Redis, enabling sub-second data refresh on user dashboards. Automated video ad rendering pipelines using Python (FFmpeg), cutting media processing time by 40%. Secured APIs with JWT, OAuth2, and role-based access controls, aligning with GDPR standards. Partnered with frontend teams using React + Next.js to build performant, interactive dashboards. Enhanced observability using ELK stack and Datadog, improving error resolution time by 20%. Participated in sprint planning and architectural decision-making, ensuring alignment with client requirements.
Junior Software Developer at KMS Technology
October 1, 2019 - October 6, 2025
Contributed to a SaaS workflow automation platform built with C#, .NET Core, and Angular, later integrated with AI-driven features for workflow optimization. Developed REST APIs for customer management and billing systems, using Entity Framework and SQL Server. Migrated backend workloads to AWS Lambda + EventBridge, implementing cost-efficient, event-driven architecture. Assisted in developing Python-based AI scripts for intelligent document classification and sentiment analysis. Improved SQL query efficiency by 40% through index tuning and optimized joins. Integrated Elasticsearch and Redis for real-time search and caching. Built CI/CD pipelines using Azure DevOps, reducing deployment time by 50%. Created internal tools for QA automation using Selenium + Python, increasing test coverage by 30%.

Education

Master's Degree in Computer Science at University of Liverpool
January 1, 2014 - January 1, 2016
Bachelor's Degree in Computer Science at Dai Nam University
January 1, 2010 - January 1, 2014

Qualifications

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Industry Experience

Software & Internet, Professional Services