Subash Chandra R

Responsibilities:

• Acting as a liaison by working closely with LT, CoE, chief architects, and support leaders on positioning the AI roadmap.
• Secured a $3 million contract for O&G customer FY 25-26, custodian for designing AI solution, architecture, cost, team engagement and RFP submission
• Implemented innovative solutions to solve complex problems, resulting in increased productivity and streamlined operations.
• Spearheaded designing an enterprise-grade framework for evaluating large language model input/output prompts by introducing a reverse prompt methodology
• Responsible for MEU pre-sales, cross-collaboration with C-level and global sales for AI growth and revenue generation
• Foster an innovation pipeline by staying updated with industry trends, researching emerging technologies, and exploring partnerships to enhance AI capabilities.
• Developed high-performing teams by providing mentorship, guidance, and opportunities for professional growth.
• Cultivated a positive work environment that fostered employee engagement, increased retention rates, and boosted overall team morale.

• Spearheaded the development of a real-time audio-video (AV) collaboration app that consists of features like Chat, Call, Screen share, and Annotations
• Conduct architecture and design reviews to ensure long-term scalability, reliability, modularity and maintainability of product
• Spearheaded the Gen AI virtual assistant app to aid the ultrasound business unit in getting the 510(k) medical device filing procedure, reducing the human loop by ~40%.
• Led cross-functional teams to complete high-priority projects on time and within budget constraints.
• Presented technical findings to non-technical audiences, facilitating clear understanding of project outcomes and benefits.

• Supply chain optimization, building predictive models for analysis and trend analysis, optimizing operational process
• Collaboration with the shop floor to develop an intelligent anomaly detection system and enhance operational efficiency. Attained a model accuracy of ~93%.
• Design and implementation of a data governance model "Global Data Access (GDA) system" using Attribute-Based Access Control (ABAC) policies
• Achieved seamless integration of legacy systems into modern platforms, minimizing disruption while improving overall data accessibility.