product leadership , Data Governance, audit expectations, organizational alignment, model risk management, portfolio strategy, agentic AI risk evaluation, investment governance

snowflake , Performance Tuning, Power Bi, Pyspark, Kafka, Tableau, Sql, Metadata Management, Spark Streaming, Databricks, Data Modelling, Azure Machine Learning, Python, Dimensional Data Vault, Data observability, Cognitive Services, Azure OpenAI, Azure SQL Data Lake, Event Hubs, Microsoft Fabric, Azure Data Services, AI ML platforms

state management , Orchestration, Data Architecture, Python, AWS, Java, Data Quality, embeddings, tool calling, lineage, PII controls, LangGraph, retrieval, guardrails, evaluation monitoring, metadata, LangChain, Indexing, GenAI systems, EKS, retries, agentic workflows, lakehouse data platform, idempotent pipelines, backfills, RAG, Governance

Tensorflow, Pytorch, Sentiment Analysis, Summarization, Generative AI, Few-shot learning, T5, BERT, NLP techniques, Transformer-based models, AI agents, Data-centric machine learning, AI-driven personalization, Search relevance, Text generation, Efficiency, Embeddings, Domain-specific relevance, Developing and fine-tuning LLMs, Latency optimization, Distillation, Policy optimization, Ranking systems, GPT-3, Deep learning frameworks

geospatial data , satellite imagery , Remote Sensing, LLMs, image sourcing strategy, Operational Excellence, AI-augmented operations, AI agents, modern tooling, annotation pipelines, training data workflows, model quality control, Gis