Kurt Niemi
Alpharetta,GA
Summary
Experienced Machine Learning Engineer with deep expertise in Generative AI, software development, and engineering management. Known for delivering impactful solutions in fast-paced settings, combining innovative development, advanced problem-solving, and strong analytical skills to address complex business challenges with excellence.
Overview
22
22
years of professional experience
9
9
years of post-secondary education
Work History
Sr Member Technical Staff
Omnissa (formerly VMware)
10.2014 - Current
- Inventor of US Patent 11,645,507 B2 (Providing Models to Client Devices) for devising methods to securely send machine learning models to client devices and for client devices to also securely send user's enterprise data to train custom models.
- Engineered and deployed real-time machine learning models in production, with an emphasis on low-latency and high-throughput performance to meet business-critical demands.
- Implemented scalable architectures and monitoring solutions to ensure model reliability and responsiveness.
- Collaborated closely with data scientists and stakeholders to add analytics capabilities for Hub and Boxer applications to capture user engagement.
- Experienced in fine-tuning and deploying Retrieval-Augmented Generation (RAG) with LLMs, leveraging real-time information retrieval to enhance model accuracy and relevance.
- Actively engaged in hands-on development throughout entire software development life-cycle of implementing new RESTful webs services on Workspace One UEM backend using Java, J2EE, Spring, Spring Boot, and JPA/Hibernate.
- Architected resilient and secure AWS solutions for both new cloud applications as well as legacy on-premises applications using AWS services such as EC2, S3, EFS, S3, VPC, ALB/NLB, RDS, Lambda, SNS/SQS, Kinesis, Transit Gateway, and AWS Backup.
- Setting up CI/CD pipelines for multiple development projects on both on-premise servers (Bamboo, Bitbucket / Git) and on AWS ( AWS Code Build, AWS Code Commit, AWS Code Pipeline).
- Make improvements to CI/CD processes. Improved code coverage of iOS Boxer by 7.8% from 57.4% to 64.2% by combining code coverage results from existing UI tests and sharing improvements made to existing script across teams.
- Provide technical leadership to other team members and mentoring junior developers.
- Provide support as needed to QA and support teams to help resolve customer issues/escalations.
Software Development Manager / Team Lead
Fundtech
07.2002 - 10.2014
- Performed "hands-on" software development managing and leading small teams of developers.
- Responsible for architecture, design, and coding of Mobile back-end server platform that is used by iOS and Android clients.
- Providing support to customers in submitting mobile application to iOS App Store and Google Play store
- Work with other development managers and QA group to manage release content, and to ensure quality of releases
Education
Master of Science - Machine Learning
Georgia Institute of Technology
Atlanta, GA 08.2021 - Current
MBA - Business Administration
Mercer University
Atlanta, GA 05.2005 - 05.2007
Bachelor of Science - Computer Science
Michigan State University
East Lansing, MI 09.1991 - 01.1995
Skills
Generative AI / Large Language Models
AWS Certified Machine Learning Engineer - Associate
Python / Java / C / Swift
PyTorch / Tensorflow / Pandas / Numpy
ML Ops / Dev Ops
Certified Kubernetes Administrator (CKA)
AWS Associate Solution Architect
Data Wrangling
Timeline
Master of Science - Machine Learning
Georgia Institute of Technology
08.2021 - Current
Sr Member Technical Staff
Omnissa (formerly VMware)
10.2014 - Current
MBA - Business Administration
Mercer University
05.2005 - 05.2007
Software Development Manager / Team Lead
Fundtech
07.2002 - 10.2014
Bachelor of Science - Computer Science
Michigan State University
09.1991 - 01.1995
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