Sudhir Goswami

About Sudhir Goswami

I build production-grade Generative AI systems that move from prototype to revenue, trusted in regulated environments and used at enterprise scale.I am a Lead Data Scientist and Generative AI and AI Systems Leader with 8+ years of experience designing and scaling enterprise AI platforms across Healthcare and Pharma, BFSI, and Consumer domains. I specialize in turning advanced AI research into reliable, governance-ready, revenue-generating products that deliver measurable business outcomes.I have led and delivered production-scale LLM, RAG, and Agentic AI solutions used by millions of users, owning the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous optimization. My work has driven measurable improvements in accuracy, hallucination reduction, latency optimization, and cost-efficient inference, enabling trustworthy AI adoption in high-risk and regulated environments.What I DeliverEnterprise-scale LLM, RAG, and Agentic AI platformsEnd-to-end AI ownership from strategy and architecture to deployment and monitoringAI systems designed for reliability, governance, and real business impactProduction AI adoption in regulated industriesHigh-performing AI teams and long-term AI roadmapsCore ExpertiseGenerative AI and LLM SystemsRAG architectures, Agentic AI, AI evaluation and guardrails, enterprise deploymentAI Engineering and MLOps / LLMOpsPyTorch, TensorFlow, LangChain, LangGraph, vector databases, production monitoringAI Governance and ReliabilityGroundedness and faithfulness checks, explainability, human-in-the-loop validationIndustry ImpactHealthcare and PharmaClinical NLP, patient journey intelligence, document intelligence, compliance-ready AI systemsBFSIRisk modeling, fraud detection, credit intelligence, regulatory-compliant Generative AIConsumer and Digital PlatformsPersonalization, recommendation systems, search and discovery, conversational AII operate at the intersection of technology, product, and business, partnering with CXOs, product leaders, and engineering teams to translate complex AI capabilities into scalable, compliant, and revenue-driving solutions.I am passionate about building high-performing AI organizations, defining enterprise AI strategy, and enabling responsible Generative AI adoption at scale.Open to leadership roles including Chief Data Scientist and Head of AI, as well as strategic collaborations and conversations on enterprise Generative AI.

Experience

1. Lead Data Scientist

   Persistent Systems

   Dec 2025 — Present · IN

Education

• Birla Institute of Technology and Science, Pilani

  Master's degree, Artificial Intelligence

• Rajiv Gandhi Prodyogiki Vishwavidyalaya

  Bachelor's degree