Peter (Chenda) Deng, Ph.D Email and Phone Number
Peter (Chenda) Deng, Ph.D work email
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Peter (Chenda) Deng, Ph.D personal email
As a Generative AI and Machine Learning Engineer, I leverage cutting-edge AI techniques to solve real-world challenges across diverse industries. Holding a PhD and backed by over 10 years of experience in data science, I bring extensive expertise in natural language processing (NLP) with 5 years of focus and 3 years in computer vision (CV). My skill set spans large language models, machine learning, computer vision, generative AI, and high-performance computing.I have successfully applied GPT technology to the healthcare and legal industries, driving transformative innovations that generate millions in annual profits.Passionate about bridging the gap between business pain points and scientific challenges, I excel at building rapid prototypes and delivering end-to-end AI solutions that effectively meet critical needs.
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Llm Machine Learning EngineerLegalon Technologies Aug 2024 - PresentSan Francisco, California, UsDesigning, developing, and implementing advanced LLM models for legal text analysis.Collaborating cross-functionally to integrate GenAI and NLP into legal document analysis and contract management workflows.Building legal data collection, processing, and integration pipelines for training and fine-tuning GenAI models. -
Gen Ai Ml EngineerOptum Dec 2022 - Aug 2024Eden Prairie , Mn, Us• Leveraged RAG and Langchain to build a vector database from knowledge articles for precise claim fraud detection, utilizing LLMs such as GPT and Llama2.• Integrated Llama 2 (13b) and GPT seamlessly for HCC code extraction from medical charts, positioning us as leaders in coding accuracy and efficiency due to its superior performance over previous models• Developed an decision support systems using an intelligence(NLP-based) framework for suggesting codes for clinical records. The project is on production and making millions of profits every year • Researched and developed a product for processing dental clinical images using Computer Vision models to verify dental procedure codes -
Nlp Machine Learning EngineerChange Healthcare Dec 2020 - Dec 2022Nashville, Tennessee, Us• Utilizing computer vision models to identify different types of dental procedures from dental images• Created an AI model for the segmentation of medical charts, resulting in significant annual profits• Designed a BERT model for multi-label text classification of PubMed articles• Developed a Named Entity Recognition (NER) model to detect encounter dates in medical charts -
Nlp Data ScientistHuma.Ai Sep 2019 - Dec 2020Palo Alto, Ca, Us• Develop a question-answering system capable of processing both structured and unstructured datasets.• Implement various Natural Language Understanding (NLU) models for Intent Classification and Named Entity Recognition.• Utilize advanced NLU and Natural Language Inference (NLI) models, including BERT, ALBERT, and RoBERTa, for in-depth analysis of Electronic Health Record (EHR) data.• Employ Natural Language Generation (NLG) techniques to create relevant and contextually appropriate questions.• Engage with publicly available healthcare datasets, such as those from ClinicalTrials.gov and PubMed, for research and application development. -
Healthcare Nlp Data Scientist InternHuma.Ai Jun 2019 - Sep 2019Palo Alto, Ca, Us• Enhancing evidence retrieval and Recognizing Textual Entailment (RTE) for medical claims• Improving translation capabilities for medical records• Conducting data analysis and designing backend systems for structured healthcare data -
Research AssistantColorado State University Aug 2016 - Jun 2020Fort Collins, Co, Us• Implement Parallel Programming (MPI) to integrate a 3-D model (Modflow) and a 2-D model (Daycent) for coupled simulations.• Apply Machine Learning techniques to forecast Groundwater levels. -
Data Scientist InternVaisala May 2018 - Aug 2018Vantaa, FiLead scientist on a traffic data analytics and modeling project, successfully developing a prototype computer learning model using traffic and Road Weather Information System (RWIS) station data to provide enhanced situational awareness and safety to drivers. Tasks accomplished include:• Processed, organized, and stored over 500GB of traffic and RWIS data from company sources and third-party data providers• Mapped the data using QGIS in Python• Constructed learning models using Python scikit-learn (Artificial Neural Networks, Support Vector Regression, Random Forest) and TensorFlow (Long-Short Term Memory/LSTM)• Worked in an Amazon Web Services (AWS) Elastic Compute Cloud (EC2) virtual machine with Graphical Processing Unit (GPU) architecture• Created a novel method to estimate traffic flow• Co-author on an invention disclosure for the model to be patented
Peter (Chenda) Deng, Ph.D Education Details
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Colorado State UniversityEngineering -
Colorado State UniversityEngineering -
Colorado State UniversitySoil And Water Resourse
Frequently Asked Questions about Peter (Chenda) Deng, Ph.D
What company does Peter (Chenda) Deng, Ph.D work for?
Peter (Chenda) Deng, Ph.D works for Legalon Technologies
What is Peter (Chenda) Deng, Ph.D's role at the current company?
Peter (Chenda) Deng, Ph.D's current role is Gen AI Data Scientist @ Optum | Ph.D. | Gen AI | LLM.
What is Peter (Chenda) Deng, Ph.D's email address?
Peter (Chenda) Deng, Ph.D's email address is ch****@****ate.edu
What schools did Peter (Chenda) Deng, Ph.D attend?
Peter (Chenda) Deng, Ph.D attended Colorado State University, Colorado State University, Colorado State University.
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