Ruthvik Vasantha Kumar

I am a machine learning and systems engineer focused on building secure, scalable ML solutions and cloud-native deployments. My work bridges research and production, emphasizing robustness under adversarial and high-load conditions.

As a graduate research assistant, I identified scalability and security gaps in MCP server architectures, co-authored research, and published technical guidance for secure cloud deployment. I developed and benchmarked prototypes that improved fault tolerance and maintained uptime under DDoS loads exceeding 10,000 requests/sec.

In industry, I automated end-to-end data validation and testing using Python, SQL, Selenium, and Jenkins, and orchestrated Airflow-driven CI/CD workflows that reduced manual QA effort by 20%. I deliver pragmatic engineering solutions that accelerate collaboration and issue resolution in Agile teams.

My projects span reinforcement learning for inventory optimization, large-scale ML pipelines with Spark/Hadoop, computer vision solutions using YOLOv8, and full-stack data applications with Streamlit and PostgreSQL. I mentor peers and have presented at IEEE conferences and won hackathons.