Brinthan Yoganathan

WORK HISTORY

EDUCATION

ABOUT 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.