Open to opportunities

Rizvi Asfar

@rizviasfar

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Results-oriented Senior AI/ML Engineer with extensive experience in NLP.

United States

Message

What I'm looking for

I am looking for opportunities that foster innovation and collaboration, where I can leverage my AI expertise to drive impactful solutions.

I am a results-oriented Senior AI/ML Engineer with over 10 years of experience designing, developing, and deploying intelligent solutions across healthcare, insurance, and enterprise domains. My expertise lies in machine learning, deep learning, large language models (LLMs), natural language processing (NLP), and computer vision. I have hands-on experience with Python, TensorFlow, PyTorch, and scalable MLOps practices, which enables me to build end-to-end pipelines that drive measurable business outcomes.

Throughout my career, I have successfully led the development of retrieval-augmented generation (RAG) systems and document intelligence tools. I am adept at collaborating with cross-functional teams to deliver production-ready models that align with both technical goals and business value. My commitment to ethical and explainable AI is reflected in my mentoring of junior engineers and my focus on developing solutions that prioritize transparency and fairness.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Zocdoc

Jan 2022 - Present (3 years 6 months)

Spearheaded the design and deployment of large language model (LLM) tools for automating internal documentation summarization and medical policy analysis using GPT-4, LangChain, and Pinecone. Developed a real-time retrieval-augmented generation (RAG) pipeline that seamlessly integrates with internal enterprise datasets to enhance contextual response accuracy in search-based applications.

Lang Chain Pinecone fastAPI Docker NLP LLMs)RAG MLOps Prompt Engineering

AI/ML Consultant

Databricks

Oct 2019 - Dec 2021 (2 years 2 months)

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.

PyTorch BERT OpenCV LLMs)NLP Computer Vision Streamlit SHAP LIME Cloud Architecture

ML Engineer

TempusAI

Apr 2015 - Sep 2019 (4 years 5 months)

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.

CNN Attention Mechanisms Grad CAM SHAP Explainable AI Deep Learning

Education

Degrees, certifications, and relevant coursework

Unknown

Bachelor's in Computer Science, Computer Science

2011 - 2015

Completed a Bachelor's degree in Computer Science, focusing on foundational principles and advanced topics. Gained comprehensive knowledge in various aspects of computer science.