Rajiv Kumar

Lead AI and data science strategy for Oracle Fusion HCM and CX, shaping product/platform direction through applied Generative AI, LLMs, and agentic architectures. Oversee large-scale ML system development/deployment, MLOps, model lifecycle management, and AI infrastructure integration into enterprise workflows.

• Pioneered Oracle AI Agent Studio (launched March 2025), a no-code/low-code platform for creating, customizing, orchestrating, and managing autonomous AI agents/multi-agent teams—integrating RAG, LLMs, enterprise tools, and secure guardrails to automate complex HR/CX processes at global scale.
• Expanded Oracle GenAI PaaS with prompt lifecycle management, bias mitigation, hallucination guardrails, LLM evaluations/benchmarking, and advanced agentic capabilities, enabling thousands of enterprises to adopt ethical, production-grade agentic AI.
• Directed recent innovations in voice AI (TTS/STT models powering conversational voice agents), video models for multimodal understanding/generation, and agentic frameworks—delivering autonomous solutions like SR Resolution agents and personalized Benefits Advisors that enhance customer satisfaction, employee engagement, and operational efficiency.
• Built/scaled high-performing AI organizations (leading 15+ teams, 180+ professionals); introduced SAFe Agile, governance, portfolio management, and operating cadences for AI initiatives.
• Influenced executive AI investment decisions; collaborated cross-functionally to translate AI/ML into clear business narratives; drove adoption across internal/external platforms.
• Conceptualized graph-based Skill Taxonomy/Ontology for workforce recommendations; led state-of-the-art NLP/recommender systems (doc2vec, learning-to-rank); implemented AI fairness (WEAT bias testing).
• Secured IP through patents; advanced responsible AI standards and measurable outcomes.

Led advanced AI/ML initiatives delivering transformative impact in fleet management and marketing. Developed end-to-end scalable analytics systems, predictive models, and real-time insights using SAP Predictive Analytics/HANA—optimizing operations, reducing costs, and driving revenue growth through data-driven strategies and automated workflows.

• Directed fleet optimization initiatives: developed predictive maintenance models, route optimization algorithms, and fuel efficiency systems using ML and real-time data—reducing downtime, operational costs, and fuel consumption while improving reliability for large-scale fleets.
• Spearheaded marketing analytics: built real-time predictive models with SAP Predictive Analytics and HANA integration for customer segmentation, acquisition, retention, and personalized campaigns—generating significant revenue growth through data-driven strategies.
• Designed intuitive dashboards/visualizations and automated workflows to accelerate stakeholder decisions and ensure data governance/quality.
• Collaborated cross-functionally to align analytics with business goals; uncovered market trends via deep customer data analysis; positioned organizations for long-term strategic growth through scalable AI capabilities.

Directed innovative product features and data science enhancements that boosted revenues and business value. Led architecture/implementation of complex multicurrency solutions; optimized workflows with SAS macros, R/Python EDA, ML, and OOP. Managed 10-person team to align technical delivery with strategic goals, fostering innovation and efficiency.

• Architected and implemented complex Multicurrency Feature for global clients: gathered requirements, designed workflows, and executed seamless rollout—expanding market reach and enabling frictionless multi-currency operations.
• Optimized data workflows using advanced SAS macros, R/Python exploratory analysis, machine learning, OOP, and database techniques—reducing bottlenecks and enabling faster, actionable insights.
• Managed 10-person high-performing team; delivered projects aligned with strategic objectives while fostering technical excellence and innovation.
• Conducted in-depth EDA and modeling to inform business strategy; enhanced product capabilities to address client needs and boost overall business value.

Developed enterprise software solutions using OOP, SQL analysis, and system design. Delivered scalable, reliable projects end-to-end, building foundational expertise in troubleshooting, optimization, and client-aligned development.

• Developed and maintained multiple enterprise-grade applications using object-oriented programming, SQL analysis, coding, testing, and optimization—ensuring scalable, reliable, high-quality solutions.
• Analyzed complex requirements; troubleshot issues; optimized performance to meet client SLAs and business needs.
• Contributed to critical projects across industries, gaining expertise in full lifecycle development that transitioned into advanced analytics, ML, and AI leadership roles.