Ethan Nelson

Stukent

• Spearheading the design and implementation of end-to-end machine learning pipelines and ML life cycle, resulting in 5 model endpoints served to over 40,000 users. 

• Architect automated workflows for the training, evaluation and deployment of machine learning models in production Databricks environments through use of MLflow and pyspark. 

• Developing and fine-tune NLP algorithms in PyTorch, including LSTMs and transformers, implementing a real-time alert system for engineering teams on bug-related issues within the platform. 

• Integrate large language model (LLM) to interpret student performance data dynamically, enhancing learning outcomes through adaptive model responses. 

• Leading team for company research initiative. Originally conducted research and proposed ten machine learning methods to enhance platform functionality, resulting in building prototypes for two projects.

Software Engineer, Machine Learning

Stealth Startup

• Used LLMs and ChatGPT to improve communication between companies and customers by creating and deploying custom RAG pipelines based on web scraped customer data. 

• Deployed APIs in Microsoft Azure via docker + Kubernetes.

• Reached out to 75+ users to research pain points to better understand impact in product development.

Co-Founder (ML Engineer)

iProspect

• Led efforts in automation of data delivery by architecting new ETL pipeline logic and managing a team of data engineers. New pipeline increased efficiency in runtime over legacy application by ~250%.

• Addressed ad-hoc requests with a strong command of Python, SQL, and data transformations, revamping dashboards to enhance visibility of key performance indicators (KPIs) and streamline reporting processes.

• Built scripts to transform and join data to help case study dealing with 50% unattributed data points.

Senior Data Analyst | Data Science & Analytics Team

ARCTEC Solutions

• Developed automation scripts for remote software installation, reducing manual setup time by 50% and enhancing operational efficiency for government clients.

• Enhanced optimization in a signal intelligence device to reduce latency in packet transmission to external applications, improving data communication and processing capabilities.

Software Engineer

Snow Data Science

Data Science Intern

Research and Business Development Center

• Checked quality of 80,000+ image dataset to assist in data pre-processing
• Assisted in training new annotators and creating training documents
• Lead team meetings

Data Reviewer

• Conducted research under a Machine Learning Engineer in order to increase working knowledge on machine learning algorithms specifically dealing with Neural Networks
• Contributing to 80,000+ image data set to train machine learning algorithm in recognizing product details

Data Annotator

Worked for RBDC to assist Lineage Logistics in point cloud classification project.
• Studied new algorithms pertaining to point cloud classification.
• Built neural network with Point Net and TensorFlow to classify point cloud data to help achieve a fully automated warehouse.
• Correctly applied algorithms to guess point cloud data.

Machine Learning Consultant

Brigham Young University - Idaho

• Followed and modified set plans to maximize efficiency in project execution by 100%
• Learned new skills pertaining to carpentry by listening and application
• Major remodels including changing 1000+ doors campus wide, maintenance of ceiling and construction of shelving units

Carpenter

Dynamic and versatile machine learning engineer with a background in designing, implementing, and deploying AI solutions. Leadership experience in leading machine learning and data operations initiatives, with technical experience in natural language processing/deep learning, model deployment, and all aspects of the AI lifecycle.

I am passionate about developing AI to help people.

Co-Founder AI/ML/CV

Working on 2 startups!

1. Computer vision, ML and NN to solve problems in the manufacturing environment.

2. Chat GPT, LLM, and NLP to solve communication issues in companies.

Taplio

Ethan Nelson's Linkedin Analytics

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