Kiran Kumar Kanathala

Designed and deployed 32+ self-supervised models using Python, machine learning, and LLMs for scalable AI-driven systems with 95% anomaly detection accuracy. Built and managed Azure ML, CI/CD pipelines, and version control pipelines for 6+ circuit breakers, enabling a workflow automation system and reducing processing by 40%. Developed pretext tasks on 100K+ samples, integrating AI-driven development tools and a partially automated AI workflow, reducing manual labeling by 70% and boosting accuracy by 25%. Delivered strong business outcomes via process optimization, automation, and product development automation, reducing downtime by 40%, cutting maintenance costs by 25%, and earning a €1700 bonus.

Led design and deployment of 32+ self-supervised models using Python, ML, and LLMs for scalable AI-driven systems, achieving 95% anomaly detection accuracy. Built and managed Azure ML, CI/CD pipelines, and version control pipelines for 6+ circuit breakers, enabling workflow automation and reducing processing time by 40%. Developed pretext tasks on 100K+ samples, integrating AI-driven development tools and partially automated AI workflow, reducing manual labeling by 70% and boosting accuracy by 25%. Delivered strong business outcomes through process optimization and automation, reducing downtime by 40% and cutting maintenance costs by 25%, earning €1700 bonus.

Led design and deployment of 32+ self-supervised models using Python, ML, and LLMs for scalable AI-driven systems with 95% anomaly detection accuracy. Built and managed Azure ML, CI/CD pipelines, and version control for 6+ circuit breakers, enabling automation and reducing processing by 40%. Developed pretext tasks on 100K+ samples, reducing manual labeling by 70% and improving accuracy by 25%. Drove process optimization and product development automation, lowering downtime by 40% and maintenance costs by 25%, earning €1700 bonus.