I’m a Machine Learning Engineer with 8+ years of experience building and deploying scalable ML, MLOps, and Generative AI solutions across fintech, healthcare, and enterprise platforms. I specialize in designing end-to-end ML systems from data pipelines and model development to production deployment, monitoring, and continuous retraining. Currently, I work at Apple, where I’m building ML solutions focused on large-scale entity resolution and POI brand matching, leveraging NLP, semantic similarity, and vector search techniques. My core expertise includes: • Machine Learning & Predictive Modeling (classification, clustering, forecasting, anomaly detection) • Generative AI & LLM systems (RAG pipelines, embeddings, prompt engineering, agentic workflows) • NLP (text mining, entity recognition, sentiment analysis, transformers) • MLOps & ML Engineering (CI/CD, model monitoring, retraining pipelines, governance) • Cloud AI platforms (Azure ML, GCP Vertex AI, AWS SageMaker) • Scalable deployment using Docker, Kubernetes, MLflow, and microservices (FastAPI) I have hands-on experience integrating LLMs such as GPT, LLaMA, Claude, and Gemini into enterprise workflows using RAG, LangChain, LangGraph, Pinecone, FAISS, and Elasticsearch-based hybrid search. I’ve also worked extensively on building production-grade monitoring and observability using ELK Stack, Prometheus, and Grafana. I enjoy solving complex problems where ML meets real-world scale optimizing systems for performance, reliability, and business impact. Areas of interest: GenAI Engineering, LLM Applications, Agentic AI, RAG Systems, ML Platform Engineering, and Scalable MLOps. I am certified in Azure Fundamentals, Azure AI Fundamentals, Cloud Machine Learning Engineering and MLOps, and Generative AI Fundamentals by DataBricks. My passion for AI/ML drives me to continuously learn and apply advanced technologies to solve complex problems and drive innovation. Let’s connect if you’d like to collaborate on ML/AI opportunities or discuss building production-ready AI systems.