Nikhil

Senior AI/ML Data Engineer with 12+ years of experience designing and delivering enterprise-scale data and artificial intelligence solutions across healthcare, financial services, insurance, and supply chain domains. Specialized in building production-ready Generative AI platforms, Retrieval-Augmented Generation (RAG) systems, and AI agent frameworks that integrate seamlessly with modern cloud-native data ecosystems. Proven expertise in architecting scalable LLM-powered solutions using GPT-based and open-source models (LLaMA, Mistral), implementing vector search with Pinecone and FAISS, and orchestrating autonomous AI workflows using LangChain and CrewAI. Strong background in developing advanced NLP pipelines for document intelligence, entity extraction, semantic search, anomaly detection, forecasting, and decision automation. Extensive experience in end-to-end AI lifecycle management, including data ingestion, feature engineering, model training and fine-tuning (TensorFlow, PyTorch), parameter-efficient optimization (LoRA/PEFT), and deploying real-time and batch inference services through REST APIs and event-driven architectures. Deep understanding of MLOps practices such as CI/CD automation, model versioning, experiment tracking, monitoring, and governance using MLflow, Docker, Kubernetes, and cloud-native observability tools. Adept at ensuring explainability, auditability, and regulatory compliance (HIPAA, SOC2, PCI, GLBA) in highly regulated enterprise environments. Strong collaborator who partners with product owners, compliance teams, clinicians, and business stakeholders to translate complex requirements into secure, reliable, and measurable AI-driven solutions that optimize performance, reduce cost, and improve operational efficiency.