# About Shyamalan Kannan

Backend, AI systems, and DevOps engineer in Seattle. Currently on OPT and looking for software engineering roles. Open to relocation.

Canonical HTML: [https://shyamalankannan.com/about](https://shyamalankannan.com/about)

## Currently

Builds agent evaluation tools, data pipelines, auth flows, and desktop/web apps. Patterns he keeps coming back to:

- Products with real moving parts: background jobs, OAuth flows, data sync, evaluation harnesses, and interfaces people can keep open all day.
- Hard technical problems with clear product stakes.
- People who trade context, reviews, and mentorship without ego.

Related pages: [Spotify](https://shyamalankannan.com/spotify.md), [contributions](https://shyamalankannan.com/contributions.md).

## Previously

### Software engineer @ Seattle University · Apr 2025 – Mar 2026

- Designed CI/CD pipelines and pre-deployment security scans, cutting C# application release cycles by 20%.
- Automated AWS, TypeScript, and shell build pipelines, cutting manual delivery from weeks to hours.
- Worked with research, IT, and operations teams on deployment strategy and wrote 12+ infrastructure runbooks.

### Software engineer intern @ Finkey Consultancy Ltd · Jul 2023 – Oct 2023

- Architected a Python/FastAPI financial data pipeline on AWS Glue, Athena, Redshift, and S3 for 50k+ records across 15+ data sources, improving retrieval efficiency by 45%.
- Developed PyTorch anomaly detection and volatility forecasting models with OpenAI API summaries, cutting analyst review time by 40%.
- Designed REST API endpoints and ETL orchestration for distributed financial data ingestion and querying.

## Occasionally

Plays video games, watches anime, plays table tennis, and builds small tools that save clicks.

## Links

- [CV](https://shyamalankannan.com/resume.pdf)
- [GitHub](https://github.com/Yabuku-xD)
- [X](https://x.com/Yabuku_xD)
- [LinkedIn](https://linkedin.com/in/shyamalan-kannan)
- [Contact](https://shyamalankannan.com/contact.md)
