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Peng W. is listed as Senior Machine Learning Engineer at Veradigm | Ex-Mckinsey | Uchicago Alumni at Veradigm, based in Seattle, Washington, United States. AeroLeads shows a work email signal at cvshealth.com and a matched LinkedIn profile for Peng W..
Peng W. previously worked as Senior Machine Learning Engineer at Veradigm and Lead Machine Learning Engineer at Mckinsey & Company. Peng W. holds Master Of Science - Ms Joint Degree Of Computer Science And Public Policy, Computer Science, Data Science, Public Policy from University Of Chicago.
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AeroLeads found 1 current-domain work email signal for Peng W.. Compare company email patterns before reaching out.
Machine Learning Engineer with strong computer science background. Proficient at Python, C, Golang. Expert of LLM SFT, DPO. Passionate about distributed system design and parallel programming. CKA | AWS architect professional | AWS machine learning specialist | terraform associate | databricks spark associate
Listed skills include Python, Data Structures, Go, Apache Spark, and 12 others.
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Chicago, Il, Us
- Built the near real-time transcription with speaker-dieration function to capture the conversation between a doctor and patient- Fine-tuned the Llama-2 model to generate the SOAP note- Added the pay-attention score for different parts of the SOAP note based on hallucination detection.
Us
- LLM alignment with top retail company 1. Helped the client to do the alignment of Mistral-7B model using DPO 2. Fixed a bug in huggingface’s TRL package that doesn’t support a single node with multiple GPUs.- Helped the client to pretrained the Llama2 model to support the Turkish language. 1. Applied deepspeed, LoRa, flash attention to speed up the training. 2. Managed multiple nodes with multiple GPUs in iguazio platform (k8s based MLops platform) 3. Using TensorBoard to monitor the training process- MLOps Implementation for a Leading Auto Manufacturer in North America 1. Spearheaded the company's inaugural MLOps initiative, scaling an Airflow pipeline to process data across all of North America, expanding from 2 car series to encompassing the entire range. 2. Achieved a substantial reduction in runtime, cutting down from 48 hours to just 2 hours.Integrated model drift monitoring and data quality checks into the pipeline, with live monitoring capabilities via DataDog. 3.Introduced a model registry into the pipeline, enabling a challenger-pattern for production models. 4. Facilitated the deployment of a real-time SageMaker serving endpoint, empowering other departments to utilize the model outputs.
Woonsocket, Ri, Us
- Built an in-house framework to standardize building, testing, deploying data pipelines using different platforms, for example, Azure data factory, snowflake, kubeflow, docker etc. - Optimized the existing data pipelines’ performance by sorting out the dependency between steps. Helped the team to scale the pipeline vertically instead of horizontally to save money for the team.- Build tools to connect teradata server and Azure Gen2 data lake. It makes the data migration from teradata to Gen2 5x faster than before.- Built tools to monitor and alert the usage of the Azure Kubernetes Cluster to prevent abnormal abuse activities from other teams.
Chicago, Il, Us
- Built a data pipeline between the inner Microsoft SQL server and supercomputer storage to support researchers to leverage the computing power of supercomputers. - Added additional functionalities in the pipeline (e.g., detecting sensitive patient information) using Python with psycopg2. - Provided a web API using Flask for the researchers to access information about the process of data transition.- Conducted statistical analysis using Electronic Health Record (EHR) data for a research study on quantifying social determinants of cardiovascular disease.
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Peng W. works for Veradigm.
Peng W. is listed as Senior Machine Learning Engineer at Veradigm | Ex-Mckinsey | Uchicago Alumni at Veradigm.
AeroLeads has found 1 work email signal at @cvshealth.com for Peng W. at Veradigm.
Peng W. is based in Seattle, Washington, United States while working with Veradigm.
Peng W. has worked for Veradigm, Mckinsey & Company, Quantumblack, Cvs Health, and Uchicago Medicine.
You can use AeroLeads to view verified contact signals for Peng W. at Veradigm, including work email, phone, and LinkedIn data when available.
Peng W. holds Master Of Science - Ms Joint Degree Of Computer Science And Public Policy, Computer Science, Data Science, Public Policy from University Of Chicago.
Peng W. is listed with skills including Python, Data Structures, Go, Apache Spark, Data Modeling, R, Scala, and Apache Kafka.
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