Resume
Ashwin Ramesh Kannan
Software Engineer passionate about building meaningful products at the intersection of engineering and design.
Experience
SDE Intern – EC2 ZIM Core Team
Amazon Web Services (AWS) · Arlington, VA
- →Developed GraphQL-based POC for EC2 network interface data, reducing payload size by 80%
- →Built dynamic SQL query builder eliminating N+1 issues, improving throughput by 25%
- →Benchmarked resolver performance at 330+ req/sec with zero data loss
- →Design adopted for large-scale production integration
Student VR Developer
NSF-Funded Research Project, NC State University · Raleigh, NC
- →Developing VR environments in Unity3D for $1.4M NSF-funded project
- →Integrating OpenXR frameworks and procedural generation for Meta for Education
- →Managing Git version control and debugging across three project branches
- →Optimizing performance with Unity Profiler for Meta Quest devices
Summer Intern
Semiconductor Research Corporation · Chennai, India
- →Built outlier detection algorithms (SVM, K-means, DBSCAN) on 250+ datasets
- →Improved anomaly detection accuracy by 12% for analog and mixed-signal circuits
- →Achieved 87% accuracy (up from 80%) using clustering and predictive modeling
- →Project funded by Texas Instruments & Semiconductor Research Organization
Software Developer Intern
EION, Inc. · Chennai, India
- →Built mobile app for Android using React and Node.js, improving throughput by 12%
- →Engineered Firebase integration accelerating data retrieval by 15%
- →Drove 50+ active users during beta release with real-time analytics
Skills
Languages
Frontend
Backend
Cloud & Tools
Education
Master of Computer Science
North Carolina State University, Raleigh, NC
Coursework: Advanced Data Structures, Automated Learning and Data Analysis, Software Engineering
Bachelor of Engineering in Computer Science
Anna University, College of Engineering, Chennai, India
Coursework: Application Development, Operating Systems, Data Structures, Object-Oriented Design, DBMS
Selected Projects
See detailed case studies in Chapters
Memory-Driven Transformer
Python, PyTorch, AWS SageMaker, BERT
Deep learning system for generating clinically consistent radiology reports
EC2 GraphQL Query System
GraphQL, Docker, AWS Coral, SQL
POC reducing payload size by 80% for EC2 network interface data