Sankar G.

Background

About Sankar G.

AI/ML & Generative AI Strategist | Data Engineering Expert | Championing Intelligent Solutions at Scale Results-driven IT leader with 15+ years spearheading AI/ML, Generative AI, Data Engineering, and Digital Transformation in BFSI and Manufacturing. Proven ability to deliver scalable, intelligent solutions that innovate, optimise, and enhance customer experience. Established AI thought leader with hands-on expertise in end-to-end ML pipelines, MLOps, and GenAI applications, including LLM-based solutions, intelligent document processing, and enterprise automation. Consistently aligns AI strategies with business objectives to unlock new revenue streams and operational efficiency. Expert in leading full-lifecycle programs leveraging modern data architectures (data mesh, data fabric, real-time streaming) and cloud-native platforms (AWS, Azure, Snowflake). Experienced in building high-performance global teams, managing diverse stakeholders, and ensuring data privacy compliance (CCPA). A solutions-oriented architect and program leader, known for strategic foresight, customer-first product innovation, and delivering impactful, AI-powered platforms at scale. Adept at bridging the gap between technical and business teams, forming strategic alliances with C-suite leaders, and navigating fast-paced change environments. AI/ML & Generative AI Leadership: LLM Applications, AI & Data Strategy, MLOps & ML Lifecycle Management, Intelligent Automation & NLP. Data & Cloud Architecture: Data Engineering & Architecture, Big Data Ecosystems (Spark, Kafka, Airflow), Cloud Platforms (AWS, Azure, Snowflake). Digital Transformation & Program Management: Digital Transformation Programs, IT Program & Change Management, Agile/SCRUM Master. Strategic & Cross-Functional Leadership: Stakeholder Engagement & Escalation Management, Strategic Leadership & Cross-Functional Communication, Product Development & Innovation. Domain & Technical Expertise: Financial Data & Risk Management, Compliance (CCPA Regulations), Python, PYSPARK, Microsoft SQL Server, GitHub.