krishna chaitanya

Designed and developed robust RESTful APIs for cdFMC and FTD backup/restore modules, enabling seamless system recovery and data integrity. Built automated testing suites using Python and PyATS, improving test coverage and reducing manual QA cycles. Collaborated with DevOps and QA teams to integrate backup workflows into CI/CD pipelines for faster delivery.

Architected and developed security graphs and attack path analysis tools using AWS, reducing threat detection time. Built scalable data migration tools in GCP to support real-time transitions with zero downtime. Developed API integrations and cloud data collectors to centralize security telemetry, improving monitoring speed.

Developed automation scripts using Python and Selenium on GCP VMs for web data extraction to enrich product listings. Trained and deployed ML models for image classification and recommendation systems. Built real-time analytics dashboards using Pandas, PySpark, and Grafana for actionable business insights.

Developed and maintained automated test suites using Selenium and Appium. Enhanced test coverage and improved script reliability by identifying edge cases. Maintained a robust test framework to accelerate code delivery and CI integration.

Developed and implemented quality control processes for content delivery, including error identification, validation, and rectification. Maintained logs and identified errors to ensure error-free content delivery.

Conducted market research to identify potential areas of growth and improvement within the organization. Analyzed and evaluated financial data to provide insights into business performance and recommend cost-saving measures.

Published a paper on Calibration algorithms for multiparametric COVID-19 models based on Markov Chain Monte Carlo methods at IEEE SIBERIA. Published and presented a paper on Multi-modal analysis of online webinars conducted through Zoom at ICRES-2021.