Abhishek G.

Senior AI & Analytics Manager with 14+ years of cross-industry experience across Banking, Telecom, Oil & Energy, Logistics, Healthcare, Media & Entertainment, and Consulting, driving enterprise-scale AI and data transformation initiatives. Expert in architecting and delivering AI-first platforms, with strong focus on Retrieval-Augmented Generation (RAG), LLM-powered applications, and ML-driven decision systems. Proven ability to integrate large language models with structured and unstructured enterprise data to deliver secure, explainable, and production-ready GenAI solutions, particularly for financial and operational workflows. Hands-on experience with Python, PySpark, SQL, and ML frameworks, building end-to-end AI pipelines covering data ingestion, embeddings, semantic search, model inference, and monitoring. Led modernization efforts transforming traditional BI and rule-based reporting into AI-assisted insight platforms, reducing reporting latency by up to 50% and improving decision velocity by 30%+. Strong background in cloud-native AI ecosystems, including AWS, Azure, and GCP, with deep expertise in Snowflake, Teradata, and Oracle as scalable data foundations for AI workloads. Well-versed in AI governance, including secure RAG design, role-based access, lineage, auditability, and responsible AI practices, reducing compliance gaps by ~40%. Recognized for leading enterprise AI transformations, mentoring high-performing teams, and aligning business strategy with AI execution to deliver measurable, CXO-impacting outcomes.