Shubha Pant

Built and scaled a global team of senior directors, distinguished engineers, principal engineers, ML engineers, and applied/data scientists. Launched Cisco’s first native Generative AI product, focused on rapid and trustworthy enterprise adoption. Driving AI incubation and data strategy, including due diligence for AI acquisitions, partnerships, and investments. Delivering end-to-end AI/ML capabilities: RAG services, safety and security guardrails, LLM fine-tuning, evaluation frameworks, and novel pre-training of foundational models. Spearheading enterprise data efforts—creation, acquisition, curation, categorization, and responsible sharing. Building frameworks and services for multi-agent AI applications across diverse enterprise use cases. Leading industry collaborations on agentic AI with major technology partners. Championing Cisco’s Responsible AI initiative and representing AI strategy and products at global industry and customer events.

Engineering Leadership for Core Machine Learning Applications, Solutions, Responsible AI, Trust & Safety - AutoML, Low/No Code AI/ML, Generative AI, Deep Learning across NLP/Vision/Multimodal. Led a 250+ member global organization delivering core ML applications and infrastructure solutions powering Google products. Member of the Core ML Leadership Team and Chair of the Core ML DEI Council, driving innovation and inclusivity at scale. Delivered low-code/no-code AutoML and Generative AI solutions; productized cutting-edge deep learning research across NLP, vision, and multi-modal domains. Built foundational models for Generative AI to enable rapid prototyping of summarization, content generation, and interactive communication across domains. Developed training, distillation and fine-tuning platforms; played a key role in the launch of Bard. Developed and enhanced many TensorFlow projects and MediaPipe Model Maker Frameworks Defined and implemented end to end roadmap for fairness, accountability, privacy, security, and governance of AI/ML offerings—ensuring trust, safety, and Responsible AI across Core ML products. Oversaw research initiatives and managed strategic relationships with partners and customers to drive AI/ML impact.

Business Leadership for Machine Learning Services (Augmented AI, SageMaker Ground Truth (Plus), Mechanical Turk, Forecast, Lookout for Metrics) – Strategy, Product, Program, Engineering, Go-To-Market, P&L. Led a 150+ member global organization spanning business strategy, product, engineering, science, go-to-market, operations, and P&L for Human-in-the-Loop AI/ML services (Augmented AI, Ground Truth, Ground Truth Plus, Mechanical Turk). Launched machine learning services across computer vision (video, LiDAR) and natural language processing for domains including autonomous vehicles, geospatial, financial services, and internet software—achieving 5x revenue growth. Drove engineering and operational excellence; established global business operations across 10+ geographies and scaled adoption through business development, sales, partnerships, and global field training initiatives. Led transformation from matrixed to functional org structure; hired senior leadership, built high-performing teams, and fostered innovation through hackathons and IP portfolio management. Co-founded the AWS Women @ AI/ML chapter and served as Inclusion Ambassador, driving diversity, equity, and inclusion across the organization.

Engineering Leadership for Financial Wellness & Data Intelligence Products - Innovation, Advanced Development, Strategic Architecture, Ecosystem, Evangelism, Engineering, Developer Experience.

Technology Leadership for Financial Wellness & Data Intelligence Products - Innovation, Advanced Development, Strategic Architecture, Ecosystem, Evangelism.

Technology Leadership for Financial Wellness & Data Intelligence Products - Innovation, Advanced Development, Strategic Architecture.

Architecture Leadership for Student Loan Processing & Securitization System using Workflow, Document & Business Process Management - Technology Strategy, Enterprise Architecture, Development Management.

Technical Leadership for Integrated Merchandising Solution optimizing space plan, assortment, promotion, pricing & allocation using demand forecasting & predictive analytics - Architecture, Development.

Software R&D for Radar, Telemetry, Control & Optical Systems for Guided Missiles & Battle Tanks - Design, Development, Simulation, Quality, Process.