Rohan Iyengar

I’m a Senior AI/ML Engineer with 8+ years of experience architecting and delivering production-grade machine learning systems, data platforms, and intelligent solutions across healthcare, fintech, and consumer technology. I specialize in building end-to-end AI systems that combine large language models with retrieval-augmented generation, recommendation/ranking, predictive modeling, computer vision pipelines, and real-time inference services—grounded in latency, model quality, compliance, data trustworthiness, and cost efficiency.

I’ve led the design and delivery of production-grade AI for healthcare workflow automation and intelligent decision support, building end-to-end LLM applications using OpenAI APIs and orchestration with LangChain/LangGraph, plus RAG pipelines with embeddings, vector search, hybrid retrieval, reranking, and knowledge-grounded response generation. I also build scalable training, inference, evaluation, and analytics pipelines using MLflow-style MLOps practices, batch/near-real-time data workflows (Spark/Airflow/Kafka patterns), and cloud-native backend services (FastAPI, Docker, Kubernetes) to ensure reliable deployment, monitoring, drift detection, and continuous optimization.