Hi, I’m Cai Lin
Software Engineer at Amazon Web Services (AWS) based in New York. I build distributed systems, SDKs, and AI-powered pipelines.
Experience
Amazon, AWS — Software Engineer (June 2025 – Present)
- Designed a Smithy-based code generation framework replacing legacy service modeling across 420+ services, reducing manual SDK integration effort by ~40%
- Delivered the #2 most requested customer feature (custom endpoints), increasing private endpoint adoption by 33%
- Deployed a CloudFormation Step Functions pipeline for cross-platform SDK builds; cut build validation time by 60% and increased test coverage from 75% to 93%
- Integrated bidirectional streaming with Amazon Bedrock’s Nova Sonic model, decreasing end-to-end response latency by 40%
Capital One — Software Engineer (Oct 2024 – June 2025)
- Designed and maintained an in-house CloudFront-style service using Lua and NGINX, routing millions of internal API requests per day
- Optimized 50+ AWS Lambda functions, improving execution efficiency by 30%
- Created an automation service enabling 3000+ internal teams to onboard apps onto static cloud
- On-call engineer for the API Gateway service, resolving 100+ tickets with <5 min median response time
Conatix Corp — Senior Software Engineer (July 2022 – Oct 2024)
- Built and trained a neural network model for malware detection, achieving 91% accuracy
- Deployed and scaled the prototype on AWS EC2 + Docker, reducing response time by 40% for 500+ concurrent users
Education
City University of New York — Master of Computer Science (2024)
Skills
Languages: Java, C++, C#, Python, JavaScript, Go, SQL, Lua
Infrastructure: AWS, Azure, Kubernetes, Docker, Terraform, Kafka, CI/CD, CloudFormation
Web: React, Node.js, Django, Flask, TypeScript, REST APIs
ML/Data: Pandas, Scikit-learn, Neural Networks, NLP
Monitoring: CloudWatch, Splunk, Log-based Debugging, On-call Incident Management
Certifications
- Google Cybersecurity Certificate (2024)
- J.P. Morgan Software Engineering Virtual Experience (2024)
- Meta Back-End Developer Professional Certificate (2023)
- Harvard’s Computer Science Certificate (2022)