Brinthan Yoganathan

I'm an engineering leader with deep experience building AI, data, and cloud platforms in regulated environments. Over the past few years, I’ve led large-scale digital transformation across cloud, data, and ML infrastructure—redefining how products are delivered, platforms are owned, and teams operate in production. My focus is on enabling product-centric cloud delivery backed by scalable, compliant infrastructure. I stay at the very edge of data and GenAI—understanding the science backwards and forwards, running real-world experiments, and building secure, production-grade systems. Whether deploying RAG pipelines, fine-tuning LLMs, or optimizing inference under compliance constraints, I ensure our platforms are ready for what’s next. • Cloud & Data Platforms: AWS (LakeFormation, Redshift, Glue, SageMaker, MLFlow, EKS), Azure (ADLS, Databricks, DataFactory, AI Foundry, ML Studio, AKS), Informatica, Confluent Kafka, Bedrock, OpenAI. • Data Architecture: Lakehouse design, Universal Semantic Layer, Data Mesh, Multi-cloud data pipeline, Data Lineage, Master Data Management, Metadata Management, Centralized and Decentralized Operating Models. • GenAI: Python, LangChain, LlamaIndex, LangFlow, MilvusDB, CrewAI, AutoGen, Transformer Reinforcement Learning, vLLM, LoRA/QLoRA, Instruction Tuning, and Knowledge Distillation. • AI/ML: SageMaker Studio, MLFlow, Vector DBs, MLOps, LLMOps, Tranium, Inferentia, and Spot Instances. • Streaming & Processing Engines: Trino, Athena, Kafka, EMR, Confluent, and Delta Lake. • Strategy Execution, Design Thinking and Innovation, Organizational Design, Strategic Negotiation, Agile Leadership, Vendor Management, Technical Program Delivery, Customer Success Enablement.