Summary
Aniruddha Choudhury is a Lead AI Engineer with ~8–10 years of experience designing and shipping production-grade ML systems that bridge Generative AI, MLOps/LLMOps, NLP and computer vision for enterprise impact. He architects end-to-end AI ecosystems—from Kubeflow-based pipelines and multi-cloud deployments to agentic RAG applications and domain-specific copilots—prioritizing reproducibility, compliance, and scalable research-to-production pipelines. A published author on continuous ML and inventor with four patents in generative orchestration and scalable ML infrastructure, he blends applied research with hands-on engineering across AWS, GCP and Azure. He has driven internal generative AI platforms and vector-backed RAG solutions at American Express and built Kubeflow-driven ML platforms and feature stores at Publicis Sapient. Colleagues rely on him to translate complex proofs-of-concept into resilient, monitored services with explainability and governance baked in. Based in Bengaluru, he pairs deep technical craft with product-minded collaboration across data science, engineering and executive teams to deliver real-world AI value.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at KIIT - Kalinga Institute of Industrial Technology
Mathematics and Computer Science, Mathematics and Computer Science at University of Michigan
Leadership with AI Computer and Information Sciences and Support Services, Leadership with AI Computer and Information Sciences and Support Services at Indian School of Business
Bengali, English, Hindi