Teams at Crayon Data

Design, implement, and operate enterprise-grade ML infrastructure and MLOps pipelines. Build CI/CD for ML workflows, manage model lifecycle (registry, tracking, monitoring), automate orchestration and scaling, and ensure governance, security, and reliability. Collaborate with data science, engineering, and infrastructure teams and support production-ready AI/GenAI deployments across the enterprise.

Lead enterprise AI/ML strategy and GenAI adoption for BFSI, architect agentic automation and LLM-based solutions, productionize scalable ML/GenAI systems, ensure responsible AI governance, mentor senior teams, and drive measurable business outcomes through applied AI and innovation.

Design, build, and scale AI/ML solutions for enterprise sales acceleration in BFSI. Develop risk, fraud, personalization, and predictive models; productize AI research into production systems; define data strategy with stakeholders; evangelize AI through prototypes and workshops; and mentor junior data scientists while leading cross-functional innovation sprints.