Siddish P Rao

Enhanced and developed automated workflows using internal tools at Intel leveraging Python, C#, AWS (SNS, SQS, S3, EC2) and Kubernetes(EKS) reducing human intervention in log analysis and error identification. Integrated JIRA APIs with internal systems to streamline error detection, bug reporting, and ticket management workflows. Added a feature to a Python-based internal tool to automatically detect existing bug reports for recurring errors, reducing duplicate tickets by 20%. Developed a log-processing feature to ingest Wi-Fi driver logs, identify errors, and automate JIRA ticket management.

Collaborated closely with the Research & Development (R&D) team to design and implement data processing pipelines and APIs. Designed and implemented web scrapers using Python’s Requests and BeautifulSoup modules to collect ticker change data, integrating it into MySQL databases on AWS RDS. Engineered a data processing pipeline using Python, AWS, and MySQL, increasing asset support in the Kosha AI system by 75%. Partnered with the Sr. Software Engineer to scale and distribute ETL processes across multiple AWS computing instances using Python multiprocessing, resulting in a 40% reduction in ETL runtime. Automated data scraping by deploying scrapers to AWS Lambda and scheduling tasks via AWS Eventbridge.