Software Developer Intern
KronML Inc.
Jun 2024 — Aug 2024
Optimized infrastructure for a production AI platform. Implemented caching, containerization, and scalable deployment to improve reliability and performance.
Impact
Reduced API latency by 40% and improved deployment reliability for production AI platform.
— KronML
Key Achievements
Reduced API latency by 40% through NGINX caching and reverse proxy optimization
Containerized entire application stack enabling seamless Kubernetes deployment
Improved deployment reliability from 85% to 99.5% uptime
Collaborated with 5-person backend team to identify and resolve performance bottlenecks
Key Highlights
Infrastructure optimization for production AI platform serving 10,000+ daily requests
Docker containerization enabling consistent development and production environments
Kubernetes orchestration for automatic scaling and high availability
Performance monitoring and optimization across full application stack
Responsibilities
Reverse Proxy & Caching
Implemented NGINX reverse proxying and caching layers to reduce API latency and backend load.
Containerized Deployment
Containerized the application and enabled scalable deployment using Docker and Kubernetes.
Performance Optimization
Collaborated with backend teams to identify and resolve performance bottlenecks in the React-based platform.
Team & Organization
Team Size
5 backend engineers + 3 frontend engineers
Reporting To
Senior DevOps Engineer
Technologies & Tools
Technologies
Tools Used
Challenges & Solutions
Optimizing High-Traffic API
Solution: Implemented multi-layer caching strategy with NGINX, added database query optimization, and deployed CDN for static assets.
Containerization of Legacy Code
Solution: Analyzed dependencies, created modular Dockerfiles, and established clear separation of concerns for microservices.
Kubernetes Deployment Complexity
Solution: Learned Kubernetes fundamentals through hands-on deployment, created reusable YAML configurations, and set up monitoring.
Key Learnings
Deep understanding of infrastructure optimization and performance tuning
Practical experience with containerization and orchestration technologies
Importance of monitoring and observability in production systems
Collaboration with experienced engineers and learning from code reviews