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I am a Senior AI/ML Engineer with over 10 years of experience in architecting, developing, and deploying advanced AI solutions across healthcare, insurance, and enterprise sectors. I specialize in machine learning, deep learning, large language models (LLMs), NLP, and computer vision, with strong proficiency in Python and major ML frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain. My expertise extends to building end-to-end ML pipelines using tools like MLflow, FastAPI, Docker, and Airflow, and deploying scalable cloud-native solutions on AWS, Azure, and GCP. Throughout my career, I have successfully delivered high-impact projects including retrieval-augmented generation (RAG) systems, document intelligence platforms, and real-time computer vision applications. I am skilled in prompt engineering, model fine-tuning and optimization, seamless API integration, and working closely with DevOps and InfoSec teams to productionize machine learning models in HIPAA-compliant environments. I am passionate about applying responsible AI principles, explainability, and AI ethics frameworks to ensure trust and fairness in AI deployments.…I am a Senior AI/ML Engineer with over 10 years of experience in architecting, developing, and deploying advanced AI solutions across healthcare, insurance, and enterprise sectors. I specialize in machine learning, deep learning, large language models (LLMs), NLP, and computer vision, with strong proficiency in Python and major ML frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain. My expertise extends to building end-to-end ML pipelines using tools like MLflow, FastAPI, Docker, and Airflow, and deploying scalable cloud-native solutions on AWS, Azure, and GCP. Throughout my career, I have successfully delivered high-impact projects including retrieval-augmented generation (RAG) systems, document intelligence platforms, and real-time computer vision applications. I am skilled in prompt engineering, model fine-tuning and optimization, seamless API integration, and working closely with DevOps and InfoSec teams to productionize machine learning models in HIPAA-compliant environments. I am passionate about applying responsible AI principles, explainability, and AI ethics frameworks to ensure trust and fairness in AI deployments.

Rizvi Asfar

AI Engineer, Data Scientist, AI Prompt Engineer, +1

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I am a Senior AI/ML Engineer with over 10 years of experience in architecting, developing, and deploying advanced AI solutions across healthcare, insurance, and enterprise sectors. I specialize in machine learning, deep learning, large language models (LLMs), NLP, and computer vision, with strong proficiency in Python and major ML frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain. My expertise extends to building end-to-end ML pipelines using tools like MLflow, FastAPI, Docker, and Airflow, and deploying scalable cloud-native solutions on AWS, Azure, and GCP. Throughout my career, I have successfully delivered high-impact projects including retrieval-augmented generation (RAG) systems, document intelligence platforms, and real-time computer vision applications. I am skilled in prompt engineering, model fine-tuning and optimization, seamless API integration, and working closely with DevOps and InfoSec teams to productionize machine learning models in HIPAA-compliant environments. I am passionate about applying responsible AI principles, explainability, and AI ethics frameworks to ensure trust and fairness in AI deployments.…I am a Senior AI/ML Engineer with over 10 years of experience in architecting, developing, and deploying advanced AI solutions across healthcare, insurance, and enterprise sectors. I specialize in machine learning, deep learning, large language models (LLMs), NLP, and computer vision, with strong proficiency in Python and major ML frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain. My expertise extends to building end-to-end ML pipelines using tools like MLflow, FastAPI, Docker, and Airflow, and deploying scalable cloud-native solutions on AWS, Azure, and GCP. Throughout my career, I have successfully delivered high-impact projects including retrieval-augmented generation (RAG) systems, document intelligence platforms, and real-time computer vision applications. I am skilled in prompt engineering, model fine-tuning and optimization, seamless API integration, and working closely with DevOps and InfoSec teams to productionize machine learning models in HIPAA-compliant environments. I am passionate about applying responsible AI principles, explainability, and AI ethics frameworks to ensure trust and fairness in AI deployments.

Available to hire

I am a Senior AI/ML Engineer with over 10 years of experience in architecting, developing, and deploying advanced AI solutions across healthcare, insurance, and enterprise sectors. I specialize in machine learning, deep learning, large language models (LLMs), NLP, and computer vision, with strong proficiency in Python and major ML frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain. My expertise extends to building end-to-end ML pipelines using tools like MLflow, FastAPI, Docker, and Airflow, and deploying scalable cloud-native solutions on AWS, Azure, and GCP.

Throughout my career, I have successfully delivered high-impact projects including retrieval-augmented generation (RAG) systems, document intelligence platforms, and real-time computer vision applications. I am skilled in prompt engineering, model fine-tuning and optimization, seamless API integration, and working closely with DevOps and InfoSec teams to productionize machine learning models in HIPAA-compliant environments. I am passionate about applying responsible AI principles, explainability, and AI ethics frameworks to ensure trust and fairness in AI deployments.

Skills

Experience Level

Expert

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Expert

Work Experience

Senior AI/ML Engineer at Clarifai, Inc.

January 1, 2022 - Present

Led design and deployment of large language model (LLM) tools to automate internal documentation summarization and medical policy analysis using GPT-4, LangChain, and Pinecone. Developed a real-time retrieval-augmented generation (RAG) pipeline integrating internal enterprise datasets to enhance contextual response accuracy in search-based applications. Partnered with DevOps and InfoSec teams to productionize ML models in HIPAA-compliant environments using FastAPI and Docker for scalable deployments. Led a cross-functional team to deliver robust NLP and automation solutions aligned with enterprise priorities. Implemented intelligent document processing (IDP) systems improving review workflows and reducing manual intervention.

AI/ML Consultant at DataRobot, Inc.

December 1, 2021 - August 20, 2025

Led consulting projects involving enterprise-level NLP and computer vision pipelines using PyTorch, BERT, and OpenCV. Designed and deployed LLM-driven analytics and fraud detection systems tailored for financial and insurance clients. Built document intelligence tools for resume screening and contract analysis leveraging embeddings and custom NER. Implemented Streamlit dashboards and continuous feedback loops for model improvement. Provided cloud architecture guidance and model explainability audits using SHAP and LIME.

ML Engineer at Luminoso Technologies, Inc.

September 1, 2019 - August 20, 2025

Designed and trained convolutional neural networks (CNNs) for chest X-ray classification incorporating attention mechanisms to enhance explainability in pneumonia detection. Co-authored a peer-reviewed publication presented at NeurIPS focusing on explainable AI methodologies within clinical diagnostics. Applied Grad-CAM and SHAP techniques to interpret model predictions, fostering transparency and trust in medical AI tools. Conducted rigorous cross-dataset evaluations to ensure model robustness across varied patient populations and imaging sources. Built early disease detection prototypes focusing on clinical applicability and rapid triage support.