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Hi, I’m Miraj Bhimani. I’m a Generative AI and Machine Learning engineer with 4+ years of experience across AI, ML, data analytics, and Python development. I specialize in Generative AI, Large Language Models, Retrieval-Augmented Generation, Agentic AI, and Prompt Engineering, and I design, develop, and deploy scalable AI applications on GCP and AWS using LangChain, FAISS, and OpenAI APIs. I thrive in cross-functional teams to deliver secure, production-ready AI solutions for fraud detection, intelligent document processing, and real-time analytics. I apply responsible AI practices, MLOps, model monitoring, and transparent governance, and I’ve built production-grade microservices, data pipelines, and analytics dashboards while embracing Agile methodologies.…Hi, I’m Miraj Bhimani. I’m a Generative AI and Machine Learning engineer with 4+ years of experience across AI, ML, data analytics, and Python development. I specialize in Generative AI, Large Language Models, Retrieval-Augmented Generation, Agentic AI, and Prompt Engineering, and I design, develop, and deploy scalable AI applications on GCP and AWS using LangChain, FAISS, and OpenAI APIs. I thrive in cross-functional teams to deliver secure, production-ready AI solutions for fraud detection, intelligent document processing, and real-time analytics. I apply responsible AI practices, MLOps, model monitoring, and transparent governance, and I’ve built production-grade microservices, data pipelines, and analytics dashboards while embracing Agile methodologies.

Miraj K Bhimani

AI Engineer, AI Developer, Data Scientist, +4

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Hi, I’m Miraj Bhimani. I’m a Generative AI and Machine Learning engineer with 4+ years of experience across AI, ML, data analytics, and Python development. I specialize in Generative AI, Large Language Models, Retrieval-Augmented Generation, Agentic AI, and Prompt Engineering, and I design, develop, and deploy scalable AI applications on GCP and AWS using LangChain, FAISS, and OpenAI APIs. I thrive in cross-functional teams to deliver secure, production-ready AI solutions for fraud detection, intelligent document processing, and real-time analytics. I apply responsible AI practices, MLOps, model monitoring, and transparent governance, and I’ve built production-grade microservices, data pipelines, and analytics dashboards while embracing Agile methodologies.…Hi, I’m Miraj Bhimani. I’m a Generative AI and Machine Learning engineer with 4+ years of experience across AI, ML, data analytics, and Python development. I specialize in Generative AI, Large Language Models, Retrieval-Augmented Generation, Agentic AI, and Prompt Engineering, and I design, develop, and deploy scalable AI applications on GCP and AWS using LangChain, FAISS, and OpenAI APIs. I thrive in cross-functional teams to deliver secure, production-ready AI solutions for fraud detection, intelligent document processing, and real-time analytics. I apply responsible AI practices, MLOps, model monitoring, and transparent governance, and I’ve built production-grade microservices, data pipelines, and analytics dashboards while embracing Agile methodologies.

Available to hire

Hi, I’m Miraj Bhimani. I’m a Generative AI and Machine Learning engineer with 4+ years of experience across AI, ML, data analytics, and Python development. I specialize in Generative AI, Large Language Models, Retrieval-Augmented Generation, Agentic AI, and Prompt Engineering, and I design, develop, and deploy scalable AI applications on GCP and AWS using LangChain, FAISS, and OpenAI APIs.

I thrive in cross-functional teams to deliver secure, production-ready AI solutions for fraud detection, intelligent document processing, and real-time analytics. I apply responsible AI practices, MLOps, model monitoring, and transparent governance, and I’ve built production-grade microservices, data pipelines, and analytics dashboards while embracing Agile methodologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Generative AI Engineer | AI/ML Engineer at Selective Insurance

April 1, 2024 - Present

Designed, developed, and deployed enterprise Generative AI solutions using Python, OpenAI GPT-4, LangChain, Retrieval-Augmented Generation (RAG), and Prompt Engineering to automate fraud investigation and intelligent document processing. Built Agentic AI workflows capable of autonomous reasoning, multi-step planning, contextual retrieval, and enterprise workflow automation for fraud analysis and decision support. Implemented enterprise RAG pipelines using LangChain, OpenAI APIs, FAISS, vector embeddings, semantic search, and document chunking to improve contextual retrieval and reduce LLM hallucinations. Built production-ready FastAPI microservices serving 20K+ enterprise requests/day; developed ML models (TensorFlow, PyTorch, Scikit-learn) for fraud detection and predictive analytics. Implemented MLOps with MLflow, containerized apps with Docker, orchestrated with Kubernetes, and designed scalable data ingestion/ETL pipelines using BigQuery and Kafka.

Generative AI Engineer / AI/ML Engineer at Selective Insurance

April 1, 2024 - Present

Designed, developed, and deployed enterprise Generative AI solutions using Python, OpenAI GPT-4, LangChain, Retrieval-Augmented Generation (RAG), and Prompt Engineering to automate fraud investigation and intelligent document processing. Built Agentic AI workflows capable of autonomous reasoning, multi-step planning, contextual retrieval, and enterprise workflow automation for fraud analysis and decision support. Implemented enterprise RAG pipelines using LangChain, OpenAI APIs, FAISS, vector embeddings, semantic search, and document chunking to improve contextual retrieval and reduce LLM hallucinations. Built production-ready FastAPI microservices serving 20K+ enterprise requests/day, reducing inference latency by 35%. Developed ML models using TensorFlow, PyTorch, Scikit-learn, XGBoost; NLP pipelines with NLTK and Hugging Face Transformers; ETL pipelines with Python, SQL, BigQuery, Kafka. Implemented MLOps using MLflow, CI/CD with GitHub Actions, and containerization with Docker/Kube

Associate Programmer (PYTHON) at Codal India

June 1, 2021 - September 1, 2023

Analyzed business requirements and translated them into functional data models in Python, leveraged Django to build REST APIs, automated unit tests with PyTest, and developed scalable ETL pipelines. Implemented automated API validation, built KPI dashboards in Tableau, and collaborated with cross-functional teams to deliver AI-ready datasets and backend services in an Agile environment.