Jun Wan Email & Phone Number | I am an experienced software engineering manager, with rich and solid hands-on experience. My passion is to build AI systems and deliver value to business. My current focus is building high performance and large scale deep learning inference solutions. At Amazon, I ran scrum teams in Alexa and later AGI org. My first team manages, scales, secures hundreds of petabytes of datasets used by thousands of modelers to train ML models. I then moved to NLU and lead a team to develop cutting edge deep neural network training and inference tools used by Alexa. Since 2023, I have been leading my team to optimize LLM inference, launched Alexa’s first production LLM inference engine meeting strict latency budget, and we are expanding to other Amazon LLM use cases. At Jobcase, I managed to fill knowledge gap quickly (cloud computing and ML), and built a small team. Together we built a data lake and a ML platform from scratch. I also built production ML models and became a contributor to the Tensorflow Open Source project. After joining SunQuest as Principal Engineer, I got promoted to run the 15+ people dev team in 5 months. During 13+ years at GenomeQuest, I started in a 3-person US team, innovated and built 2 of 3 pillars of company’s foundational technologies. The product is being used by 18 out of the top 20 pharma and all five top agrochemical companies worldwide for their mission critical business processes at the time of exit. Throughout my career, I recruited and led teams successfully delivered many commercial software products. I am very pragmatic, and I enjoy finding simple and effective solutions to problems, and don’t let perfect get in the way of releasing something highly useful. SKILLS: * Lead commercial software development team. Perform any or all roles of team leader, architect, manager. * Machine Learning: LLM Inference, Transformers, Tensorflow, PyTorch, DNN, model runtime. * AWS Cloud technologies, Data Lake, Spark, Kafka, SageMaker, CloudWatch. * Bioinformatics applications, LIMS, Sequence analysis. NGS data analysis. * Relational database, Object oriented design and patterns. * NoSQL. Cassandra, DynamoDB, Apache Ignite, Redis. * Java, Python, Spark, Javascript/Angular2, PHP, Scala, Groovy/Grails, Solr, Cassandra, Docker, CSS, Bootstrap, Hibernate, Spring, Perl, MySQL, Eclipse, Maven, K8s, microservice, GIT, SGE, and many other 3-letter acronyms. * SaaS production data center operations. SOC 2 and HIPPA compliance. * Customer facing functions

Jun Wan

I am an experienced software engineering manager, with rich and solid hands-on experience. My passio...
Cambridge, Massachusetts, United States

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Jun Wan’s Email wan@genomequest.com

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Jun Wan’s Location Cambridge, Massachusetts, United States

Jun Wan’s Current Industry Amazon

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Work Experience

Amazon

Software Development Manager, Amazon General Intelligence Foundations

2023-06-01 00:00:00 - Present

Jobcase

Architect and Director of Machine Learning Platform (hands-on)

2018-05-01 00:00:00 - 2020-04-01 00:00:00

Sunquest Information Systems

Director Of Product Development

2017-08-01 00:00:00 - 2018-05-01 00:00:00

Gq Life Sciences

Chief Product Architect / VP R&D

2011-06-01 00:00:00 - 2017-02-01 00:00:00

Genomequest

Engineering Product Manager

2008-07-01 00:00:00 - 2011-06-01 00:00:00

Phylos

Senior Software Engineer

2001-11-01 00:00:00 - 2003-05-01 00:00:00

Activecyte

Java Developer

2001-06-01 00:00:00 - 2001-10-01 00:00:00

Skills

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Languages

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FAQ About Jun Wan

Jun Wan is located at
Cambridge, Massachusetts, United States

Jun Wan is a I am an experienced software engineering manager, with rich and solid hands-on experience. My passion is to build AI systems and deliver value to business. My current focus is building high performance and large scale deep learning inference solutions. At Amazon, I ran scrum teams in Alexa and later AGI org. My first team manages, scales, secures hundreds of petabytes of datasets used by thousands of modelers to train ML models. I then moved to NLU and lead a team to develop cutting edge deep neural network training and inference tools used by Alexa. Since 2023, I have been leading my team to optimize LLM inference, launched Alexa’s first production LLM inference engine meeting strict latency budget, and we are expanding to other Amazon LLM use cases. At Jobcase, I managed to fill knowledge gap quickly (cloud computing and ML), and built a small team. Together we built a data lake and a ML platform from scratch. I also built production ML models and became a contributor to the Tensorflow Open Source project. After joining SunQuest as Principal Engineer, I got promoted to run the 15+ people dev team in 5 months. During 13+ years at GenomeQuest, I started in a 3-person US team, innovated and built 2 of 3 pillars of company’s foundational technologies. The product is being used by 18 out of the top 20 pharma and all five top agrochemical companies worldwide for their mission critical business processes at the time of exit. Throughout my career, I recruited and led teams successfully delivered many commercial software products. I am very pragmatic, and I enjoy finding simple and effective solutions to problems, and don’t let perfect get in the way of releasing something highly useful. SKILLS: * Lead commercial software development team. Perform any or all roles of team leader, architect, manager. * Machine Learning: LLM Inference, Transformers, Tensorflow, PyTorch, DNN, model runtime. * AWS Cloud technologies, Data Lake, Spark, Kafka, SageMaker, CloudWatch. * Bioinformatics applications, LIMS, Sequence analysis. NGS data analysis. * Relational database, Object oriented design and patterns. * NoSQL. Cassandra, DynamoDB, Apache Ignite, Redis. * Java, Python, Spark, Javascript/Angular2, PHP, Scala, Groovy/Grails, Solr, Cassandra, Docker, CSS, Bootstrap, Hibernate, Spring, Perl, MySQL, Eclipse, Maven, K8s, microservice, GIT, SGE, and many other 3-letter acronyms. * SaaS production data center operations. SOC 2 and HIPPA compliance. * Customer facing functions - pre and post sales technical support.

Jun Wan currently works in the Amazon |

No Languages Available

Jun Wan has prior
experience in the following industries:
Jobcase | Sunquest Information Systems | Gq Life Sciences | Genomequest | Phylos | Activecyte

Jun Wan has the following professional experience:
Amazon | Jobcase | Sunquest Information Systems | Gq Life Sciences | Genomequest | Phylos | Activecyte