Vaishnavi Thipireddy Email & Phone Number

Hyderabad, In

United States

• Ensured applications met or exceeded Service Level Agreements (SLAs) for uptime and performance by using historical data to proactively identify and resolve potential issues.• Monitored critical applications and infrastructure using Splunk to track system performance, log anomalies, and identify potential issues before they impacted end users.• Monitored data pipelines to ensure smooth data flow between systems. Addressed data inconsistencies, latency issues, and system bottlenecks, leveraging both automated and manual processes.• Developed and maintained Unix shell scripts to automate routine tasks such as log file analysis, system health checks, and error monitoring, which significantly improved response time and efficiency in monitoring operations.• Collaborated with cross-functional teams to streamline monitoring processes, reducing false positives by 20% and enhancing the accuracy of alarms and notifications through constant monitoring pipeline adjustments and scripting improvements.• Engaged in root cause analysis for critical incidents by correlating logs, monitoring data, and alarm information. Worked with development teams to implement fixes and long-term solutions based on RCA findings.• Checked and responded to system alarms and alerts, analyzing the severity and nature of each alert to take appropriate corrective actions or escalate to higher-level teams when necessary.• Leveraged CI/CD pipelines to automate the deployment of monitoring configurations and updates, ensuring consistent monitoring environments across development, staging, and production.• Regularly monitored applications using industry-standard tools such as Dynatrace, Datadog, Splunk to track key performance metrics (APM, response times, error rates, system health).• Utilized Splunk ITSI (IT Service Intelligence) for event correlation, enabling more efficient tracking and handling of incidents triggered across multiple layers of the infrastructure.

India

• ⁠Annotations and database management, managed database, Managed annotations.Abnormalities which look like TB were marked. Assisted data science team in training models by providing structured data.• ⁠Uploaded images and coordinated people to do them, collected all annotated data and stored them in the database.• Managed around 100,000 images and their annotations. Upload and collect radiologist annotations of various abnormalities detected on chest X-rays.• ⁠Worked closely with radiologists and clinicians to gather feedback and refine the visualization dashboards to meet their diagnostic needs.• ⁠The algorithm is trained on a large dataset of labelled chest X-ray images, where the labels indicate the presence or absence of specific conditions. The algorithm is then validated using a separate dataset to assess its performance and accuracy. Designed and implemented interactive dashboards in Tableau and Power BI to visualize and analyse chest X-ray images processed by the AI algorithms.• ⁠When working with the engineering team, collaboration typically involved tasks such as designing and implementing the software infrastructure, integrating the algorithm into the workflow, and optimizing performance.

Master'S Degree, Computer Science

Bachelors, Computer Science