Acted as the chief technologist, guiding AI/ML and data engineering teams. Established best practices: Implemented standards for big data, analytics, data management/security/governance, architecture, quality, and modeling., Possesses deep analytical skills (statistics, stochastic modeling, neural networks) and hands-on experience with cutting-edge technologies (NVIDIA SDKs, XGBoost, cuDNN, CUDA, Dask)., Incubated and introduced advanced technologies like GPU-accelerated analytics, RTOS, serverless computing, CI/CD pipelines, computer vision frameworks (OpenCV), deep learning libraries (Java Deep Learning), and big data tools (Apache Flink, Beam, Ranger)., Led cross-functional teams to success in hackathons and robotics competitions., Championed the adoption of multi-cloud, connected vehicle, AI/ML, and Ultracruise technologies within GM by:, Leading proof-of-concepts and prototype development to demonstrate solution viability, Fostering a culture of learning from failures to build secure, scalable platforms on the GM internal cloud, Evangelizing through various channels like Yammer, white papers, roadshows, and user forums, Creating targeted communication materials (videos, success stories, demos) and developer programs for the AI/ML practice, Partnered with internal teams to define product roadmaps, market positioning, and developer initiatives for AI/ML at GM., Actively promoted AI/ML careers for women by hiring female college graduates and mentoring existing female employees., Excelled in performance management, career path development, team building, and talent acquisition. Provided opportunities for senior management exposure, promotions, and training for direct reports., Presented at company-wide events including all-employee meetings, hackathons, innovation challenges, and geek weeks.