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RA@rizviasfar
Results-oriented Senior AI/ML Engineer with extensive experience in NLP.
United StatesI 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.
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Work history, roles, and key accomplishments
Zocdoc
Jan 2022 - Present (3 years 10 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.
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.
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.
Degrees, certifications, and relevant coursework
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.
Software and tools used professionally
United StatesYou can contact Rizvi and 90k+ other talented remote workers on Himalayas.
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