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Hi, I'm Neeraj Namani. I'm an AI/ML engineer with 4+ years of experience delivering scalable, production-grade AI solutions across finance, healthcare, and retail. I specialize in building end-to-end ML pipelines, working with LLMs and generative AI to turn complex data into practical business outcomes. Whether it's real-time risk scoring, multimodal models, or automated ML workflows, I enjoy turning data into reliable software that scales in cloud environments and supports decision making.…Hi, I'm Neeraj Namani. I'm an AI/ML engineer with 4+ years of experience delivering scalable, production-grade AI solutions across finance, healthcare, and retail. I specialize in building end-to-end ML pipelines, working with LLMs and generative AI to turn complex data into practical business outcomes. Whether it's real-time risk scoring, multimodal models, or automated ML workflows, I enjoy turning data into reliable software that scales in cloud environments and supports decision making.

Neeraj Namani

AI Engineer, Data Scientist, Data Analyst, +4

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Hi, I'm Neeraj Namani. I'm an AI/ML engineer with 4+ years of experience delivering scalable, production-grade AI solutions across finance, healthcare, and retail. I specialize in building end-to-end ML pipelines, working with LLMs and generative AI to turn complex data into practical business outcomes. Whether it's real-time risk scoring, multimodal models, or automated ML workflows, I enjoy turning data into reliable software that scales in cloud environments and supports decision making.…Hi, I'm Neeraj Namani. I'm an AI/ML engineer with 4+ years of experience delivering scalable, production-grade AI solutions across finance, healthcare, and retail. I specialize in building end-to-end ML pipelines, working with LLMs and generative AI to turn complex data into practical business outcomes. Whether it's real-time risk scoring, multimodal models, or automated ML workflows, I enjoy turning data into reliable software that scales in cloud environments and supports decision making.

Available to hire

Hi, I’m Neeraj Namani. I’m an AI/ML engineer with 4+ years of experience delivering scalable, production-grade AI solutions across finance, healthcare, and retail. I specialize in building end-to-end ML pipelines, working with LLMs and generative AI to turn complex data into practical business outcomes.

Whether it’s real-time risk scoring, multimodal models, or automated ML workflows, I enjoy turning data into reliable software that scales in cloud environments and supports decision making.

Skills

Experience Level

Expert

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Work Experience

AI/ML Engineer at Synchrony Financial

January 1, 2025 - Present

Develop real-time claims risk models using Python, NumPy, Pandas, PyTorch, and TensorFlow; train and deploy transformer-based NLP models (BERT, GPT-4, LLaMA) for document classification, semantic similarity, entity extraction, and risk scoring on unstructured claims; implement LLM-powered summarization pipelines with LangChain, GPT-4, and RAG; build streaming ML pipelines with Kafka, Spark Structured Streaming, and AWS Kinesis for near real-time fraud detection and anomaly flagging; orchestrate multimodal AI pipelines combining text and images using CNNs and transformer sequence models; establish end-to-end MLOps with MLflow, Airflow, SageMaker, Docker, and Kubernetes; engineer a multi-graph AI pipeline with NLP embeddings, image features, and vector search (FAISS) for semantic retrieval and decision support.

ML Engineer at Accenture

May 1, 2020 - July 1, 2023

Built predictive demand forecasting models (XGBoost, LightGBM, LSTM) from 550,000+ historical retail transactions to optimize inventory across 1,200+ stores; designed customer segmentation and churn prediction models; developed real-time recommendation pipelines; built distributed ETL pipelines with PySpark and AWS S3; deployed production ML models on AWS SageMaker with Docker/Kubernetes and CI/CD; implemented model monitoring and drift detection with MLflow, Grafana, and Prometheus; ensured cross-source evaluation across 10 heterogeneous retail data systems.