Sreenath E. Email & Phone Number

Bengaluru, KA, IN

New Delhi, Delhi, India

Bangalore Urban, Karnataka, India

• Built ai scope advisor that provides robust and intelligent control testing recommendations that identifies redundant control tests, and scales down testing frequencies to reduce 15-20 % operating costs without.
• Understand business needs and support business stakeholders in optimizing the GRC process during the definition of the initiative's costs and benefits analysis.
• Integrated large language models within the GRC process to autonomously generate controls and identify issues pertaining to isolated risks for bolstering the overall risk management framework. That reduce manual.
• Designed End to End architecture in AWS to support numerous enterprise customers.
• Designed Regulatory management system to automatically determine the impacted GRC components based on the incoming new/Updated regulatory feed by using graph machine learning models that reduced manual monitoring costs.
• Developed text classification model to categorize issues and identify trends in a certain category of issues and identifying duplicate issues using text similarity approaches.

Bangalore

• Spearheaded the creation of a GDPR assessment accelerator to streamline the process of assessing GDPR compliance in engagement contracts, improving efficiency and reducing manual effort
• Led the development of a machine learning service that automates the recommendation of resolution details for existing similar testing defects, eliminating manual checks and enhancing productivity
• Took the lead on complex data science projects from inception to completion, ensured successful delivery and implementation of data-driven solutions

Bangalore

• Pioneered the introduction of an AI assistant to provide users with information about similar/duplicate ideas during the submission process, improving efficiency and reducing redundancy.
• Deployed machine learning models into production environments and ensured they can handle real-world loads; scaled models and systems as needed to manage increasing data volumes and user demands.

• Launched a machine learning model for predicting live traffic attacks, improving firewall efficiency and enhancing overall security measures.
• Contributed to the implementation of a classification model designed to autonomously forecast the likelihood of deal closures which enabled reviewers to concentrate their efforts on deals with a higher potential for.

Bengaluru Area, India

Old Airport Road, Bangalore

Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering, A+

Intermediate, Mpc

Ssc